Data Analytics Jobs

Sway Sourcing Sweden AktiebolagHQI 82

HR Systems & Data Analytics Specialist We are looking for an analytical and solution-oriented HR Systems & Data Analytics Specialist for an exciting consulting assignment within a large international organization in the automotive industry. In this role, you will support the development, operation and continuous improvement of HR systems, data management and reporting solutions. You will work closely with HR stakeholders to transform business requirements into effective, reliable and user-friendly solutions. 💼 About the Assignment You will play a key role in ensuring high-quality HR data, developing reporting solutions and improving HR processes and systems. The assignment combines data analytics, business analysis, system support and continuous improvement in an international environment. 🔍 Key Responsibilities Manage and validate HR data to ensure accuracy, consistency and transparency Develop, maintain and improve HR reports and dashboards based on business requirements. Translate HR business needs into functional system and reporting solutions. Support system testing, releases and enhancements of HR applications. Identify opportunities for process standardization, simplification and automation. Provide functional support, documentation and guidance to HR users. Collaborate with stakeholders to improve data quality, reporting efficiency and system functionality. ✅ Requirements To succeed in this role, you should have: A university degree or equivalent education in Business Administration, HR, Data Analytics, Information Systems, IT or a related field. Experience or solid knowledge of Data Analytics, Business Intelligence, Data Governance, HR IT or Enterprise Reporting. Experience working with SAP-based HR applications and analytics solutions, such as SuccessFactors, Datasphere, SAP Analytics Cloud (SAC) or equivalent systems. Good proficiency in SQL and Excel. Knowledge of data modelling, data quality and business analysis. Experience working with enterprise applications and data, preferably within an HR environment. Professional proficiency in English, both written and spoken. ⭐ Nice to Have Additional education or training in Data Analytics, BI, Data Governance, HR IT or Enterprise Reporting Experience with Power BI. Understanding of SAP HR data models and enterprise integrations Knowledge of Python. Experience with automation tools such as Power Automate, scripting or AI-assisted reporting. Knowledge of Swedish, German or Portuguese. 🤝 Personal Qualities We are looking for someone who is analytical, structured and proactive, with a strong ability to translate complex information into practical solutions. You enjoy collaborating with different stakeholders, communicating clearly and supporting users. You are curious, service-minded and motivated by improving processes, systems and ways of working. 📍 Location: Södertälje, Sweden 📅 Assignment Period: Immediate start – April 30, 2027, with the possibility of extension 🏢 Work Model: Hybrid, 2–3 days on-site per week Sway Sourcing är en innovativ rekryteringspartner som specialiserar sig på att matcha rätt talang med rätt företag – snabbt och effektivt. Vårt huvudfokus ligger inom Ekonomi, Administration, HR, Marknad och IT, men vi har även den breda expertis och flexibilitet som krävs för att leverera skräddarsydda rekryteringslösningar inom alla branscher. Trots att vi är en relativt ny aktör har vi redan byggt förtroende hos många av Sveriges största företag och arbetar både nationellt och internationellt. Med baser i Sverige och Spanien erbjuder vi en unik kombination av lokal expertis och global räckvidd. Vårt starka nätverk och djupa branschinsikter gör oss till en självklar partner för företag som vill ligga steget före i sin rekrytering.

Army National Guard UnitsHQI 83

In order to qualify, you must meet the experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. In describing your experience, please be clear and specific. We will not make assumptions regarding your experience. Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position. GENERAL AND SPECIALIZED EXPERIENCE QUALIFICATIONS REQUIREMENTS: Work involves supervising or performing work requiring knowledge of (a) the basic processes of administration, (b) the principles and standard practices of management, and (c) the techniques of organization, direction, coordination, and control. Minimum Qualification Requirements: Experience, education or training which provided a general knowledge of principles of organization, management, and administration. Compiling reports, letters, memoranda, etc., and required person-to-person contacts to convey information. Progressively responsible experience which demonstrates the ability to provide technical guidance and assistance in the type of work or in comparable work of the position to be filled. Experience using computer and automation systems. Specialized Experience: 1 year equivalent to at least next lower grade level. Functional Manager Specialized Experience Requirements: GS-11 and above - 1 year specialized experience equivalent to at least the next lower grade level. Experience, education or training in program or managerial experience in a type of work or a combination of functions directly related to the position to be filled or in comparable work or functions. Experience developing and recommending policy; organizing and carrying out specific programs, evaluating and recommending changes in methods of operations. Experience in supervisory, staff or technical work which included study, analysis or evaluation leading to the development or improvement of managerial or administrative policies, practices and procedures. Experience preparing written communications and oral presentations. Experience in managing the function of the work to be performed. Experience which includes leading, directing and assigning work of personnel. Major Duties: This is not an all-inclusive list A DATA ANALYTICS SPECIALIST (MERIT, T5), GS-0301-13, 1. Provides authoritative technical advice on all aspects of data analytics. Responsible for administering and coordinating a complex data analytics portfolio including Army and Air National Guard and highly technical special projects. Sets appropriate work priorities, applies knowledge of organizational needs and deadlines, and consistently follow-up to assure receipt of required documentation. The incumbent identifies, extracts, compiles, and analyzes information from various sources and develops meaningful program data, information, and reports in a variety of formats for presentation to and utilization by Senior Leaders, supervisors, and colleagues. The incumbent will research, design, develop and manage the content, design, layout, and features of different types of software such as analytical dashboards and various business intelligent tool Communicates and coordinates with content managers to ensure content conforms to Section 508, DoD, DFAS Site Office standards and policy, web design and content best practices. 35% 2. Utilizes expertise in interpreting, developing, and applying appropriate data to generate usable products that enable leaders to make informed decisions about the enterprise related to business processes, management, and efficiencies. Conducts studies, identifies trends, risks, and themes based on the data and information. 15% 3. Counsels and advises others including Federal staff, and recipients to accomplish the program goals. Keeps supervisors and staff informed of administrative issues and developments. Responds to questions and resolves problems for staff. Provides leadership and significantly contributes to ad-hoc or regular workgroups within the data analytics management community. Inspects and reconciles data to ensure validity of information. Provides technical guidance in the development and review of policy and procedural issuances from the Department, the agency, and Operational Directorates related to data analysis. Reviews and comments on proposed changes in rules or regulations, conducts special studies, and prepares position papers and special reports. Responds to letters, memos, phone calls, emails, etc. with recipient and Federal staff. 15% 4. Performs qualitative and quantitative techniques to analyze and measure the effectiveness, efficiency, and productivity of National Guard programs (examples include Comptroller, Logistics, Real Property, Maintenance, and Human Resources). Applies appropriate program evaluation and measurement in order to prepare project papers and staff reports and provides briefings to JFHQ leaders, Staff personnel, unit/wing leaders, and respective program managers. 10% 5. Incumbent serves as the USPFO's principal authority and subject matter expert in all Data Analytics. Advises the USPFO, TAG, and other senior officials and staff regarding data analytics for current and future plans involving complex analysis and long-term projects and programs within the state NG. Develops and maintains a myriad of reports. Confirms and validates data prior to use for reports through systems of record. Delivers data that often flows through the National Guard with the USAF, USN, USMC, USAR, USA (Active Duty), DIA, DLA, DARPA, GSA, GPO, USDA, NASA, DOE, USCG, and more. 10% 6. May have limited leader responsibilities. Distributes and balances workload among employees. Gives on-the-job training to lower-graded employees. May approve leave for assigned employees. Completes annual performance appraisals. Resolves simple complaints and grievances, referring the more serious ones to the supervisor. Recommends training needs for employees. Provides input to the supervisor concerning selections, promotions, reassignments, recognition of outstanding performance. (10%) Performs other duties as assigned.

CelonisHQI 93

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Data Analytics & Transformation (DAT) brings together Data Engineering, Semantics, Data Science, Process Excellence and the Domain teams. Domain teams give each Celonis business function the analytics and strategic perspective it needs to make evidence-based decisions. They work with data on campaigns, pipeline, customers, product usage, incidents and infrastructure. We're moving from descriptive reporting toward predictive, prescriptive and AI-augmented insight. The Position: This is a hands-on engineering role embedded in a business domain. You'll write clean SQL and Python, build models and data products, and work directly with the stakeholders you serve across Sales, Product, Engineering, Finance and Commercialization. The Work You'll Do: Turn business questions into structured analyses and clear, actionable recommendations, with stories and visuals that non-experts can follow. Define and refine KPIs, and use statistical and predictive methods to spot trends, risks and opportunities early. Your methodology should hold up when challenged. Build automated dashboards and self-service data products that replace manual reporting. Write tested, version-controlled code, and use AI tooling (copilots, agents, workflow automation) to cut manual effort. Own data quality, consistency and governance for the datasets you work on. What You Bring: 2–4 years in analytics engineering, data/business analytics, BI development or a similar role. Strong SQL and confidence with large, complex datasets. Hands-on Python for analysis, automation and statistical/predictive modeling. Practical experience using AI in analytics workflows. A solid grasp of statistics and attention to methodological detail. Software engineering habits (version control, testing, documentation) and experience with BI/visualization tools. The ability to explain data clearly to non-technical stakeholders, and examples of your work shaping decisions in a business function. A degree in Computer Science, Engineering, Mathematics, Statistics, Economics or a related quantitative field. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Please be aware of common job offer scams, impersonators and frauds. Learn more here .

CelonisHQI 89

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Data Analytics & Transformation (DAT) brings together Data Engineering, Semantics, Data Science, Process Excellence and the Domain teams. Domain teams give each Celonis business function the analytics and strategic perspective it needs to make evidence-based decisions. They work with data on campaigns, pipeline, customers, product usage, incidents and infrastructure. We're moving from descriptive reporting toward predictive, prescriptive and AI-augmented insight. The Position: This is a hands-on engineering role embedded in a business domain. You'll write clean SQL and Python, build models and data products, and work directly with the stakeholders you serve across Sales, Product, Engineering, Finance and Commercialization. The Work You'll Do: Turn business questions into structured analyses and clear, actionable recommendations, with stories and visuals that non-experts can follow. Define and refine KPIs, and use statistical and predictive methods to spot trends, risks and opportunities early. Your methodology should hold up when challenged. Build automated dashboards and self-service data products that replace manual reporting. Write tested, version-controlled code, and use AI tooling (copilots, agents, workflow automation) to cut manual effort. Own data quality, consistency and governance for the datasets you work on. What You Bring: 2–4 years in analytics engineering, data/business analytics, BI development or a similar role. Strong SQL and confidence with large, complex datasets. Hands-on Python for analysis, automation and statistical/predictive modeling. Practical experience using AI in analytics workflows. A solid grasp of statistics and attention to methodological detail. Software engineering habits (version control, testing, documentation) and experience with BI/visualization tools. The ability to explain data clearly to non-technical stakeholders, and examples of your work shaping decisions in a business function. A degree in Computer Science, Engineering, Mathematics, Statistics, Economics or a related quantitative field. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Please be aware of common job offer scams, impersonators and frauds. Learn more here .

Oscar HealthHQI 86

Hi, we're Oscar. We're hiring a Senior Analyst, Data Analytics, SIU to join our SIU team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Analyst, Data Analytics, SIU partners across the organization to manage inefficiencies in the business. You will support teams in scoping, analyzing and monitoring performance of important financial and utilization metrics in service of our goals. The Senior Analyst, Data Analytics collaborates independently with stakeholders to define key questions and scope analyses. They may at times be called upon to speak to prepared analysis both internally and externally. This work aims to reduce medical waste and deliver more affordable and higher-quality health care for Oscar's members. You will report into the Manager, SIU Data Analytics & Reporting. Work Location: This position is fully remote and open to candidates residing in the U.S., excluding Alaska; Delaware; Hawaii; Louisiana; Montana; North Dakota; Oklahoma; West Virginia; Wyoming; and U.S. Territories. Daily work is completed from your home office, with occasional travel required for team meetings and company events. #LI-Remote Pay Transparency: The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $86,628 - $109,761 per year. The base pay for this role in all other locations is: $75,265 - $98,785 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Pay Transparency: The base pay for this role is: You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: • Analyze data to support business teams in making better informed, data-driven decisions • Use data to tell a story that non-technical colleagues can understand, including packaging and presenting findings in a clear, concise and compelling manner • Oversee the creation and maintenance of essential operational and analytical dashboards, and update and enhance them as our user's needs evolve • Create models and tools that produce relevant insights to identify inefficiencies and generate insights to remove inefficiencies • Collaborate across the organization to identify actions to achieve improvements and monitor initiative impact • Support other strategic projects as assigned to meet business needs • Compliance with all applicable laws and regulations • Other duties as assigned Requirements: • 1+ years of technical work experience using analytical tools and writing analytical reports • 1+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process • Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by experience on at least 2 reporting projects requiring communication between technical and non-technical users • Experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests • Proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets • 1+ years experience in healthcare, finance or the insurance industry Bonus points: • 1+ years experience in preparing healthcare analytics and reporting • 1+ years experience managing value-based contracts at a payer or a provider organization (ACO, CIN, MSO) • 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools • Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team ([contact via application link]) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy .

Collective.workHQI 74

Taux journalier (TJM): 480 Notre client est établi proche de Lyon dans le sud-Est à Mions Le contexte est de rejoindre une équipe de 4 profils similaires faisant partie d'un pôle global Data de 25 personnes. Misisons : Un rôle de bout en bout sur la chaîne data 1. Cadrer - Questionner le métier - Accompagner la spécification fonctionnelle - Rédiger la spécification technique - Chiffrer la charge 2. Construire - Si la donnée existe : la mettre à disposition - Sinon : ingérer et modéliser via Fabric - Rendre la donnée disponible dans Snowflake 3. Rendre autonome - Construire ou sécuriser le modèle Power BI - Former le data champion - Documenter le livrable et son exploitation La priorité vient des actionnaires pilotée par les teams lead Les demandes sont validées en période budgétaire traduit en nombre jours-homme. STACK DATA Microsoft Fabric Power BI avancé Bonne connaissance de Snowflake Language SQL obligatoire POSTURE Relation clients et métiers Pédagogie et transmission Aisance sur les cas d'usage IA Info importante : 3 jours par semaine sur site à Mions et 2 jours de télétravail Véhicule de rigueur

omniHQI 76

Omni is seeking a Senior Pre-Sales Solutions Engineer to own the region’s most technically demanding evaluations, from initial demo to final decision. You’ll work with Sales, Product, and Engineering, tackling real customer data in prospects’ environments to demonstrate value and shape product direction. You’ll guide technical discovery, run POCs, and mentor peers while collaborating closely with cross-functional teams to win deals and expand the Omni platform across industries. J-18808-Ljbffr

SutherlandHQI 83

Company Description Transform Enterprise Data. Build the Future of Analytics. Are you passionate about designing modern data platforms and solving complex analytics challenges at scale? We're looking for a Senior Data Analytics Engineer to lead the evolution of our next-generation data ecosystem. This is a highly visible individual contributor role for a seasoned data professional who thrives at the intersection of data engineering, analytics, business intelligence, and cloud modernization . You will play a critical role in transforming legacy reporting environments into scalable, high-performance cloud-based solutions while partnering with global stakeholders to deliver insights that drive business decisions. If you enjoy owning end-to-end data solutions, optimizing enterprise reporting, and building robust data pipelines that empower analytics and AI-driven initiatives, this opportunity is for you. Job Description *For Pooling Purposes*   What You'll Do Lead Enterprise Data Modernization Initiatives • Drive the migration of legacy reporting and analytics environments to modern cloud-based platforms. • Analyze existing BI models, SQL workloads, and reporting logic to identify optimization opportunities. • Convert complex business and reporting logic into scalable cloud-native data solutions. • Ensure data quality, accuracy, and seamless transition through comprehensive validation and testing. Design & Build Scalable Data Platforms • Develop, enhance, and maintain enterprise-grade data pipelines and data products. • Build efficient data transformation frameworks using modern analytics engineering practices. • Optimize data models, processing frameworks, and reporting performance. • Establish scalable solutions that support future analytics, reporting, and machine learning initiatives. Partner with Business & Analytics Leaders • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions. • Serve as a trusted advisor on data architecture, reporting strategy, and platform capabilities. • Support strategic and ad hoc analytics requests through reliable, well-governed data assets. • Communicate technical concepts effectively to both technical and non-technical audiences. Drive Operational Excellence • Implement best practices for data governance, version control, documentation, and deployment. • Monitor platform performance and proactively identify optimization opportunities. • Contribute to continuous improvement initiatives across analytics and data engineering functions. Qualifications What We're Looking For Required Qualifications • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field. • 4+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or Data Platform Development . • Strong expertise in SQL , including advanced query development, optimization, and stored procedure logic. • Experience working with Power BI , semantic models, and DAX-based reporting environments. • Hands-on experience with Spark, PySpark, Spark SQL , or similar big data technologies. • Proficiency in Python for data processing, automation, and analytics. • Experience using Git and modern software development practices. • Strong stakeholder management and requirements-gathering skills. • Excellent verbal and written English communication skills. Preferred Qualifications • Experience with Databricks , Delta Lake, Databricks SQL, DLT Pipelines, and Unity Catalog. • Experience leading or contributing to cloud migration and data modernization initiatives. • Knowledge of modern data warehousing, lakehouse architecture, and analytics platforms. • Databricks, Azure, AWS, or related cloud certifications. • Experience supporting high-volume, customer-facing, or enterprise-scale operations. • Exposure to analytics, machine learning, or data science environments. Additional Information Why Join Us? Own High-Impact Data Initiatives Take the lead on strategic data transformation projects that directly influence business performance and decision-making. Work Directly with Global Leadership Partner with senior leaders and cross-functional teams in a highly collaborative, fast-paced environment where your expertise is valued. Shape a Modern Analytics Ecosystem Play a foundational role in building scalable cloud-based data platforms that enable advanced analytics, AI, and future innovation. Accelerate Your Career Gain exposure to modern technologies, enterprise-scale datasets, and complex business challenges while expanding your leadership influence as a senior individual contributor.

StrykerHQI 86

Work Flexibility: Remote As an Associate Manager, Data Analytics, you will drive analytics that help shape business decisions and improve outcomes across Stryker’s Endoscopy division. In this role, you will lead and help grow a team of analytics professionals while remaining hands-on in delivering reporting, dashboards, automation, and AI-enabled solutions that create measurable business value. You'll partner closely with stakeholders, influence priorities, and help modernize how data and analytics are used to solve problems and accelerate performance. **The preferred candidate will be based in either the Mountain or Central Time Zone** What You Will Do • Lead delivery of analytics initiatives by managing priorities, timelines, dependencies, risks, and execution across a portfolio of projects. • Develop and deliver analytics solutions, including reports, dashboards, automation, and AI-enabled capabilities that support business decision-making. • Partner with stakeholders to understand business objectives, challenge assumptions when appropriate, and shape analytics solutions and delivery plans that meet business needs and drive adoption. • Partner with business leaders to communicate project status, identify risks, and resolve prioritization or resource challenges. • Coach, develop, and support a team of analytics professionals through onboarding, performance management, and career development. • Review analytics solutions, validate assumptions, and provide technical guidance to improve solution quality and consistency. • Identify and deploy opportunities to improve efficiency through automation, self-service analytics, modern analytics tools, and AI-driven solutions. What You Will Need Required Qualifications • Bachelor’s degree. • Minimum 6 years of professional experience, including significant experience in data analytics, business intelligence, reporting, or a related field. • Minimum 1 year of people leadership, team leadership, project leadership, or formal coaching experience. • Demonstrated experience influencing stakeholders, navigating competing priorities, and leading teams through change. • Experience delivering analytics solutions from requirements gathering through implementation and ongoing support. • Experience using business intelligence and analytics platforms such as Power BI, Tableau, or similar technologies. • Experience developing and troubleshooting data models, including relationships, measures, and semantic models, to support analytics and reporting solutions. Preferred Qualifications • Master’s degree. • Experience with analytics automation, and AI technologies such as Microsoft Copilot, Power Automate, Power Apps, GitHub Copilot, Databricks, Python, DAX, and M. • Experience supporting multiple business functions or stakeholder groups within a matrixed organization. United States of America Pay Ranges: • USN : $118,000 - $196,700 USD Annual • US5 : $123,900 - $206,500 USD Annual • US10 : $129,800 - $216,400 USD Annual • US15 : $135,700 - $226,200 USD Annual • US20 : $141,600 - $236,000 USD Annual • US30 : $153,400 - $255,700 USD Annual View the U.S. work location and transparency guide to find the pay range for your location. Travel Percentage: 10% Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

PinterestHQI 91

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for a Sr. Software Engineer , Data Analytics and Engineering to improve the quality, reliability and velocity of data science and product development at Pinterest. You’ll build scalable data foundations, analytics tooling and analysis pipelines that enable trusted, self-service access to datasets, insights and metric investigations across cross-functional teams. What you’ll do: Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work. Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics. Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions. Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices. Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use. Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements. Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification to ensure correctness, quality and responsible use. What we’re looking for: Minimum of 4 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment. Experience using SQL and Python, R or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization and data partitioning. Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies across complex datasets. Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams. Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows. Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking or peer review. High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables. Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: PinFlex: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This role will need to be in the office for in-person collaboration 1–2 times per month and therefore can be situated anywhere in the country. #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $183,040 — $320,320 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

TeklaHQI 83

Tekla makes high-quality home textiles, with a focus on craftsmanship, sustainability, and timeless design. We sell through our own e-commerce platform, our stores in Copenhagen and London, and wholesale partners around the world. As we grow across channels and markets, we are building the operational and technological foundation to support that growth. We are looking for a Data Analytics Engineer to bring our data in-house and build the foundation the whole company relies on. This is a new role and our first dedicated data hire. Today an external partner builds and runs our data platform. You will take it over, own it end to end, and shape how everyone at Tekla works with data and AI. Reporting to the Technology Lead, you will form Tekla's core technology team together. Data only creates value when it drives action, so you will spend a good share of your time with colleagues across the business, making sure what you build answers real questions and becomes part of how people work. In your first year, the priority is to bring the data foundation in-house, then to support analytics, then to open up data to AI. Day to day, you will work with ecommerce and marketing on attribution, tracking, and channel reporting; merchandising and planning on product, stock, and sales data; finance on reporting and reconciliation against the ERP; retail and wholesale on store and B2B performance; and operations on demand, supply, and warehouse data. During the transition you will also work closely with our data partner, and with our commerce platform and ERP partners. This is a full-time position based in Copenhagen, Denmark. The role sits in our open-plan office, working closely with the wider team day to day. Key responsibilities include, but are not limited to: Data foundation • Lead the handover of our data platform from our external partner, covering pipelines, warehouse, and semantic layer. • Own extraction and ELT pipelines, currently in Weld, from our ERP, Medusa, and marketing platforms into BigQuery. • Own the dbt project: dimensional models, tests, documentation, and CI/CD. • Own the semantic layer, currently in Power BI, and help decide its future direction. • Monitor data quality across systems, so data arrives complete and accurate. • Make sure data is stored, accessed, and shared in line with data protection law, including when AI tools use it. Analytics support • Work with colleagues across the business to turn their questions into well-defined models and metrics. • Extend the data foundation with new models and metrics as the business needs them. • Help teams build dashboards and analyses in Power BI, Mixpanel, and Claude that lead to better decisions. Data and AI • Rework the data model and semantic layer so Claude and other AI agents can query it reliably. • Take our AI dashboard prototype forward into a tool that lets anyone at Tekla build and share a dashboard in minutes. • Build small internal tools where a dashboard or an AI skill is not enough. • Help colleagues learn to direct AI tools well and build their own processes around them. We would love to hear from you if you are, or have: • 4+ years of experience in data engineering or analytics engineering. • A bachelor's degree in a relevant field, such as computer science, statistics, mathematics, engineering, or equivalent practical experience. • Hands-on experience building and running a modern data stack, including ELT tooling such as Weld, BigQuery, and dbt. • Strong SQL and dimensional modelling skills. • Experience building dashboards in a common tool such as Power BI, Looker, or Tableau. • Experience with API integrations. • Good engineering habits: version control, testing, documentation, and CI/CD. • Comfortable using AI tools such as Claude in your daily work, and keen to help others do the same. • A clear communicator with a strong eye for detail. It is an advantage if you have: • Experience with Power BI or Mixpanel. • Experience with ERP data, ideally Microsoft Dynamics 365 Business Central. • Experience in retail, e-commerce, or omnichannel businesses. • Web development experience, to prototype new data-driven tools. Applications will be reviewed and interviews conducted on an ongoing basis, with the aim of the successful candidate joining us in December.

Cisco SystemsHQI 86

The application window is expected to close on: 10/29/2026 Meet the Team Product Operations Central (Process and Business Intelligence) is a core component of the Product Operations team, providing a centralized hub of multi-disciplinary expertise that fortifies the strategic and operational framework for Business Units (BUs) across Cisco’s product portfolio. This team acts as a strategic partner, collaborating with cross-functional leaders to define Product Lifecycle Management (PLM) strategies, improve operational efficiency, and drive innovation across NPI, sustaining, and end-to-end supply chain processes. Your Impact In this role, you will play a pivotal role in shaping our future by proactively collaborating with peers, senior leaders, and functional SMEs. You will bridge the gap between complex PLM business processes and advanced data-driven insights. By implementing innovative analytical solutions, you will ensure our operational framework is both scalable and highly effective. As part of this role, you will drive the strategic vision for Business Intelligence (BI) by leading the strategy and execution of initiatives that improve process improvement and foster data-driven decision-making across the product portfolio. You will lead and influence cross-functional collaboration by orchestrating efforts among Product Operations, Global Manufacturing Operations (GMO), Technology & Quality (T&Q), and Engineering teams, unifying these groups under shared data objectives. Your expertise in sophisticated analytics and data integrity will be critical as you define and automate quality frameworks to ensure high-fidelity data, performing deep-dive analyses into product health, development velocity, and operational KPIs. Leveraging Google Cloud Platform (GCP) tools such as BigQuery and Cloud Composer, you will enable scalable data processing and utilize Google Workspace for collaborative policy management and cross-functional project tracking. You will also play a key role in risk management and mitigation by navigating operational risks through collaborative engagement and developing data-backed mitigation strategies integrated into our Product Lifecycle Management (PLM) business processes. Operational optimization is another core responsibility, where you will use design-thinking sessions within our business sensing framework to understand business unit challenges and ensure analytical solutions are perfectly aligned with business goals. This role drives significant business impact by aligning the organization toward a unified, data-driven PLM strategy that accelerates velocity across New Product Introduction (NPI) and sustaining phases. It harnesses scalable intelligence through GCP infrastructure to transform large datasets into real-time operational insights, improves operational efficiency by automating data quality and BI solutions to reduce manual processes, and supports risk mitigation by equipping leadership with analytical tools to identify and address supply chain and product lifecycle risks proactively. Minimum Qualifications • Bachelor’s degree in Engineering, Supply Chain, Operations, Information Systems, or related field. • 7+ years of experience in PLM, NPI/Sustaining, HW development, and end-to-end supply chain engineering. • 5 + years of program management experience leading cross functional teams in complex environments with layered dependencies. • Expert proficiency in SQL, Tableau, or Power BI. • Proven experience with Google Cloud platform or similar for data visualization. Preferred skills • Experience in Python or R for advanced statistical analysis. • Familiarity with Data Governance/Quality tools (e.g., Alation, Big Eye, Monte Carlo). • Ability to articulate complex data-driven strategies and gain consensus at the executive level. • Familiarity with AI/ML applications and automation to enhance supply chain/product development. • Strong commitment to continuous improvement and operational excellence. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $134,500.00 to $176,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees • 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next • Additional paid time away may be requested to deal with critical or emergency issues for family members • Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: • .75% of incentive target for each 1% of revenue attainment up to 50% of quota; • 1.5% of incentive target for each 1% of attainment between 50% and 75%; • 1% of incentive target for each 1% of attainment between 75% and 100%; and • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $134,500.00 - $202,600.00 Non-Metro New York state & Washington state: $119,200.00 - $200,800.00 * For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Cisco SystemsHQI 83

Meet the Team The Data & Analytics team helps leaders turn sophisticated information into clear, actionable insights. We partner across business, operations, finance, product, and go-to-market to build trusted data analysis, enable strategic decision-making and improve business performance. As a Data Manager, you will bring strong analytical judgment, familiarity with AI-enabled tools, and a passion for crafting intuitive dashboards that help teams understand what is happening, why it matters, and what to do next. Your Impact As a Business & Data Manager, you will partner with business collaborators to compose and deliver end-to-end analytics and reporting solutions that enable data-driven decisions. You will transform sophisticated business requirements into significant insights, develop scalable dashboards, and find opportunities to improve operational efficiency through data and AI-enabled solutions. Specific responsibilities include: • Partner with multi-functional participants to capture business requirements and compose scalable analytics, reporting, and dashboard solutions that support strategic business objectives. • Develop, maintain, and optimize executive dashboards, reporting tools, and data visualizations that deliver actionable insights to business leaders. • Analyze large and sophisticated datasets to identify trends, measure business performance, and deliver quantitative and qualitative insights that influence strategic decisions. • Translate commercial performance across Teamwork and Networking portfolios into actionable briefs, opportunity spotlights, and recommendations for leadership. • Evaluate key SaaS and other business metrics including ARR, NRR, GRR, renewal rate, churn risk, and product adoption to support business planning and decision-making. • Use approved AI-enabled tools and automation techniques to improve insight generation, forecasting, reporting, operational efficiency and how partners get along with our analytics and insights. • Provide ad-hoc reporting, data extracts, and analytical support while finding opportunities to automate recurring processes and scale data-driven solutions. • Drive projects from concept to completion by managing priorities, presenting with partners and colleagues, and delivering high-quality analytical solutions. • Establish data-quality checks, indictor definitions, documentation, and governance practices that improve trust and consistency in reporting. Qualifications and Requirements Minimum Qualifications • Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, Business, or a related technical or quantitative field; equivalent practical experience may be considered. • 8+ years of experience in data analytics, business intelligence, strategic analytics, commercial analysis, business operations, or a similar analytical role, preferably in enterprise technology or SaaS. • 5+ years of experience developing dashboards and visualizations using Tableau, Power BI, or similar business intelligence tools. • 5+ years of experience querying and analyzing large datasets using SQL and platforms such as Snowflake, SAP HANA, BigQuery, Databricks, or similar technologies. • Experience using Python, R, or a comparable language for data analysis, automation, data transformation, sophisticated analytics, or API data fosters. • Experience applying AI-enabled tools and generative AI to business problems and reporting workflows with sound judgment and appropriate validation. • Good communication, data storytelling, problem-solving, stakeholder-management, and attention-to-detail skills. Preferred Qualifications • Experience with data analysis, data exploration, data wrangling, data transformation, and data-validation techniques. • Experience with enterprise reporting platforms such as Salesforce, SAP BI or Business Objects, Databricks, or similar tools. • Familiarity with enterprise collaboration solutions, networking business models, or related technology portfolios. • Solid grasp of recurring revenue models and commercial metrics such as ARR, ACV, NRR, customer churn, renewals, and Enterprise Agreements. • Experience with forecasting, scenario analysis, predictive modeling, or other sophisticated analytical methods. • Knowledge of data governance, privacy, security, and responsible AI principles. • Experience mentoring analysts or influencing decisions across organizational boundaries Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Disclaimer To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will: • be in direct response to an application you have submitted through the company career site • begin with screening or an interview • originate from a Cisco email address, and • be conducted across email, phone, or WebEx Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com , do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport. If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.

AltaGasHQI 83

Job Description Number of Positions: 1 Term: 4 Months Start Date: January 2027 About the Role At AltaGas, data plays a critical role in supporting project delivery, operational performance, and business decision-making. As a Data Analytics & Process Automation Co-op Student, you'll work closely with Midstream project teams to support data analytics, business intelligence, process improvement, and automation initiatives. This role offers a unique opportunity to combine technical and business skills while gaining exposure to project controls, cost management, benchmarking, reporting, and field operations. You'll work with data from multiple sources to help improve reporting, streamline processes, and develop solutions that drive efficiency across the project portfolio. What You'll Do As a Data Analytics & Process Automation Co-op Student, you will: • Support data analytics and reporting initiatives related to project performance, cost tracking, key performance indicators (KPIs), and project portfolio management. • Assist with benchmarking activities by organizing, validating, and preparing data for meaningful analysis and comparison. • Help develop dashboards and reporting solutions using Microsoft Fabric and Power BI by integrating data from multiple systems and sources. • Support database development, data organization, and data quality initiatives to improve reporting and business decision-making. • Contribute to process improvement and automation initiatives that reduce manual effort and improve operational efficiency. • Support the LEMS Automation Initiative by analyzing labour, equipment, and material tracking processes and identifying opportunities for automation and workflow improvements. • Assist in developing process documentation, playbooks, training materials, and onboarding resources to support LEMS adoption. • Contribute to initiatives aimed at reducing invoice processing and validation time through automation and streamlined workflows. • Collaborate with project, construction, and business teams to identify technology-enabled solutions that improve project execution and reporting. • Participate in site visits to gain a deeper understanding of field operations and the processes that support project reporting and controls. What You'll Bring • Currently enrolled in the second or third year of an undergraduate degree program in Data Analytics, Data Science, Computer Science, Software Engineering, Computer Engineering, Business Analytics, Statistics, Engineering, Artificial Intelligence, or a related discipline. • Strong analytical, problem-solving, and organizational skills. • Interest in data analytics, business intelligence, artificial intelligence, automation, and process improvement. • Ability to work with large datasets and translate information into meaningful insights. • Strong verbal and written communication abilities. • Ability to work both independently and collaboratively in a team environment. • Experience with Microsoft Office applications, particularly Excel. • Exposure to Power BI, Microsoft Fabric, SQL, Python, data visualization tools, or automation technologies is considered an asset. • Exposure to project controls, estimating, cost management, construction, or infrastructure projects is considered an asset. What You'll Gain • Hands-on experience supporting high-impact projects across AltaGas' Midstream business. • Exposure to data analytics, business intelligence, process automation, artificial intelligence, and emerging technologies. • Opportunities to work with project, construction, engineering, and business teams across the organization. • Experience developing dashboards, reporting solutions, automation tools, and business process improvements that support strategic decision-making. • Exposure to field operations and project execution environments. • Mentorship, coaching, and professional development opportunities. • The opportunity to build your network and develop skills that will support your future career. #LI-INTERNS For Canadian hires : AltaGas hires personnel on the basis of job-related qualifications. All qualified applicants will receive consideration without regard to a person's ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity or expression, age, record of offences, marital status, family status or disability or any other characteristic protected by applicable law. For U.S. hires : WGL/SEMCO/AltaGas offers a total rewards package that includes competitive pay, incentive bonus plans, holiday pay, 401K matching and a wide array of benefits. These benefits including medical, dental and vision coverage are designed to help you and your family stay healthy. We also have paid time off (PTO) to balance the demands of your work and personal life. Available benefits vary depending upon the specifics of the role. U.S. affiliates of AltaGas are committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, ethnicity, religion, gender, age, national origin, marital status, sexual orientation, gender identity, family responsibilities, matriculation, physical or mental disabilities, political affiliation, genetic information, status as a protected veteran or any other characteristic protected by federal, state, or local law.

ContinentalHQI 74

We are seeking a highly motivated Data Analytics Engineer to design, develop, and maintain scalable data solutions that transform raw data into actionable business insights. This role combines data engineering, analytics, and business intelligence capabilities to support strategic decision-making, operational excellence, and digital transformation initiatives. The ideal candidate will work closely with business stakeholders, analysts, power users and IT teams to develop robust data models, automated data pipelines, and interactive reporting solutions that drive measurable business value. Responsibilities: Data Engineering and Integration Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Integrate data from multiple enterprise systems, databases, APIs, and cloud platforms. Ensure data quality, consistency, governance, and security across all solutions. Monitor and optimize data workflows for performance and reliability. Development & Optimization Design, develop, and maintain dashboards and reports using Power BI, ensuring compliance with enterprise standards for governance and scalability. Collaborate with cross-functional teams to gather business requirements and translate them into data solutions, ensuring consistent KPI definitions. Validate data sources and ensure semantic models comply with security rules. Apply best practices for DAX, data modeling, and performance optimization. Document processes and enforce adherence to governance practices. Support & Enablement Act as the main point of contact for business users, supporting reporting initiatives. Troubleshoot issues related to data sources, refresh schedules, and visualization. Provide training, guidelines, and documentation to improve data literacy and effective report usage. Foster active community engagement. Innovation Stay up to date with the latest Power BI adopting new capabilities to enhance our analytics maturity. Required Advanced English (Spanish is a plus). Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Administration, Data Science/Analytics or related field. 4+ years in BI or analytics roles. Experience in virtual project management within remote teams. Experience integrating Power BI with SharePoint, Teams, or other collaboration tools. Proficiency in Power BI, including DAX, M Language for Power Query, and data modeling. Excellent problem-solving skills, analytical thinking, and attention to detail. Effective communication skills, with proven ability to influence stakeholders and work collaboratively in cross-functional teams. Preferred Power BI Data Analyst Associate (PL-300) certification. Basics in SQL, Python, and/or KNIME Workflow Development. Experience with data warehousing, ETL processes, and cloud platforms (Azure preferred). All your information will be kept confidential according to EEO guidelines. Ready to drive with Continental? Take the first step and fill in the online application.

Wolt - EnglishHQI 93

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are looking for an experienced Data Analytics Engineer to join our growing Tax Data Mart team. This role will be a key contributor to the team and will be responsible for building the tax data operations function for our Deliveroo and Wolt legal entities. This includes building and operating the data pipelines and infrastructure that power tax analytics and support decision-making across the company. As DoorDash continues to grow its global footprint across multiple business lines, we are looking for a candidate with experience working with Tax teams to gather requirements, and designing scalable data processes to support them.. This person will grow our unique community via your blend of tax, data technology, and process improvement experience. About the Role You will be reporting to the Senior Manager of Tax Data & Operations, and play an integral role in DoorDash’s data function, owning the processes for ingesting, transforming, and controlling our data, ensuring accuracy, and making it available to analytics and business users. As a member of this team, you will lead the design, implementation, and operation of data pipelines and related processes to support the Company’s exponential growth. What you’ll be doing Lead the collection of Tax Data and Reporting requirements through close relationships with Tax team counterparts Design, build, and maintain scalable, reliable data pipelines (ETL/ELT) that serve data across the company Develop and optimize data models and warehouse structures to support analytics and reporting Participate in new business initiatives and identify their impact on existing data system(s) and processes. Work closely with Analytics, Data Science, and business partners in the development and validation of new data sources. Identify and document business, functional and technical requirements to support new business initiatives and to enhance existing system functionality. Leverage AI & AI assisted tooling to build and automate recurring data tasks & pipelines. Monitor data quality, reliability, and observability, and resolve data-related issues for our internal business partners. Participate in defining the Company’s data tooling needs, including the maintenance of existing systems. Prepare documentation related to our data systems and processes. Share knowledge and best practices with engineers and analysts across the team. Our humble expectations You have 7+ years of experience in a Tax data & technology or similar role. Experience using Data Build Tool (DBT) or a similar product to manage data flows. Experience using Claude, Cursor and similar AI tools. You are an expert at using SQL with experience using Snowflake. Proficiency in Python (or a comparable language) for building data pipelines. Experience with modern data stack and orchestration tools such as Airflow, Spark, or Kafka. You have strong attention to detail and analytical, organizational, and problem-solving skills. You’re an independently motivated person with a proven ability to manage multiple projects and prioritize work independently. You have excellent written and verbal communication skills. Project management experience, including creation of project plans, milestones, and due dates. Computer Science, Information Technology, Engineering, or a related degree. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Collective.workHQI 74

Dans le cadre du renforcement d'une équipe Data, nous recherchons plusieurs Data Analytics Engineers capables de prendre en charge des sujets data de bout en bout, depuis le cadrage du besoin métier jusqu'à la livraison et à la transmission aux utilisateurs. La mission s'inscrit dans un environnement structuré, avec une forte proximité avec les équipes métiers et un enjeu important d'autonomie, de qualité des livrables et de partage de compétences. Vous interviendrez notamment sur : * Cadrage des besoins : challenger et préciser les demandes métiers, contribuer aux spécifications fonctionnelles, rédiger les spécifications techniques et estimer les charges en jours-homme. * Data Engineering & Analytics : identifier et mettre à disposition les données existantes ou, lorsque nécessaire, assurer leur ingestion et leur modélisation via Microsoft Fabric. * Snowflake : rendre les données disponibles et exploitables au sein de l'environnement Snowflake. * Power BI : construire, faire évoluer ou sécuriser les modèles et livrables Power BI. * Accompagnement métier : transmettre les connaissances aux référents/data champions afin de leur permettre de devenir autonomes sur les solutions livrées. * Documentation : assurer une documentation claire des livrables et de leur exploitation. * Pilotage : suivre les tâches, charges, engagements et livrables dans Jira, dans le respect des priorités et budgets définis. * Contribution collective : prendre en responsabilité votre propre périmètre tout en étant capable d'apporter ponctuellement votre soutien sur d'autres sujets de l'équipe. L'objectif est de produire des solutions acceptées par le métier, documentées, exploitables et suffisamment maîtrisées par les utilisateurs pour être reprises en autonomie. Localisation : Lyon Télétravail : Disponibilité pour 3 jours par semaine sur site indispensable. Durée : 12 mois Nous recherchons un profil disposant d'une expérience solide en Data Analytics / Data Engineering, capable d'évoluer à la fois sur des problématiques techniques et dans une relation directe avec les métiers. Une maîtrise ou très bonne connaissance des environnements suivants est attendue : Microsoft Fabric, Power BI avancé, SQL et Snowflake. Au-delà de la stack technique, vous êtes à l'aise avec le cadrage de besoins métiers, l'estimation de charges, le pilotage via Jira et la documentation de vos travaux. Vous disposez également d'une bonne capacité à expliquer et transmettre vos connaissances. Votre pédagogie, votre autonomie et votre capacité à tenir vos engagements seront particulièrement importantes dans cette mission. Une aisance sur les cas d'usage liés à l'IA est également recherchée. Le processus de sélection prévoit une évaluation concrète des compétences, notamment à travers des cas pratiques et un entretien individuel, portant sur la technique, l'organisation, le chiffrage, la pédagogie et la relation métier.

Placements24HQI 78

Placements24 is seeking a Remote Computational Biologist to join our advanced research initiatives. You will develop computational approaches to analyze large-scale biological datasets and collaborate with experimental biologists and data scientists to drive discovery. The role focuses on applying bioinformatics methods to genomics, transcriptomics, and proteomics in a flexible remote setting, contributing to innovative research projects. J-18808-Ljbffr

RESRG AutomotiveHQI 81

RESRG Automotive seeks a data/functional analyst to provide SAP support, gather business requirements, and develop dashboards using Power BI and Excel. You will extract and validate data from SAP, contribute to process improvements, and support UAT and system enhancements. The role requires 1–3 years in a related analytics/BA role, with SAP exposure and strong Excel/Power BI skills. Prior manufacturing or automotive experience is a plus. J-18808-Ljbffr

ashbyHQI 86

ABOUT THIS ROLE 👋 Hi, I’m Kevin https://www.linkedin.com/in/adamantine/. I manage the Data team and our analytics products at Ashby. I’m hiring our first Data Analytics Manager at an important point in Ashby’s growth, and I hope you have the patience to read a job posting that may be a little unconventional. You will manage Ashby’s three Data Analysts: two core analysts and one analyst focused on Revenue Operations. Our Data Engineer will initially continue to report directly to me, so this role is deliberately more focused on the analytical side of the team while remaining a close partner in the broader data ecosystem. The primary result of your successful management will be a team of analysts with excellent judgment, strong technical methods, clear communication, and a deep sense of ownership. I am looking for someone who can help that team do better work, choose better work, and grow into the next stage of Ashby alongside the company. Rather than begin with a long list of tools or years of experience, I want to share four questions that sit at the center of this role. If you apply, your answer should be “yes” to each. Should we get a chance to talk, what I will really want to understand is the nuance: your unique how, why, and what behind your answers. 1. Can you identify and hire talented people? We will continue to grow the analyst team, and you will play a meaningful role in finding and assessing future teammates. Great analysts combine technical judgment, curiosity, communication, business context, and a willingness to own work end to end. Can you recognize that combination in others? 2. Can you develop and amplify the data practices that let a small team do excellent work? Ashby’s Data team is lean, and our practices will need to evolve as the company becomes more complex. I see this role as an opportunity to improve the ways we prioritize work, review it, share knowledge, maintain quality, and collaborate. 3. Can you lead the team through the transition from broad shared context to meaningful specialization? Today, each analyst can know a great deal about the company and data stack. That will become more challenging as Ashby grows across products, regions, systems, and business functions. We will need to develop stronger domain context and clearer ways of working without turning the team into a set of narrow, disconnected specialists. 4. Can you help the Data team navigate the rapidly evolving implications of AI? AI will affect how our analysts work, how the company self-serves analytical questions, and how other teams use internal business data. Much of that work depends on trusted, well-modeled, appropriately accessible warehouse-derived data. You will help the Data team explore and evaluate the relevant tools, workflows, and partnerships—bringing ambition, practicality, and a high bar for accuracy. These questions add up to a simple reality: Ashby is growing quickly, and the surrounding data needs are becoming more complex. We are becoming a multi-product, global company with more business systems and larger team dynamics. This is a great opportunity at a great company, but it will be hard and consequential work. I am looking for a manager who is excited to help shape the Data function and build an excellent team for its current and future members. YOUR RESPONSIBILITIES AS A DATA ANALYTICS MANAGER To understand the role, it helps to understand how our team works today. Data Analysts at Ashby are full-stack members of the Data team. We do not have a traditional split where Analytics Engineers build models and Data Analysts perform analysis only on prepared datasets. Our analysts work across raw and modeled data, contribute to dbt models and metric definitions, conduct deep analysis, build dashboards and other internal data products, and collaborate directly with partners throughout the company. As a rough sketch, the team receives work through a standardized request process. Anyone can make a request; we triage it, assess the actual need, and decide whether it can be addressed quickly or should become a more deliberate project with a kickoff and plan. We do not currently organize ourselves around universal SLAs, sprints, or points. Instead, we aim to be good partners: communicate clearly, assess capacity honestly, prioritize thoughtfully, and make deliberate choices about what not to do. You will have a lot of leverage in aiding this process well. Ashby’s Operating Principles https://www.ashbyhq.com/blog/culture/ashbys-operating-principles place principled thinking ahead of reflexively leaning on prior experience or convention. In practice, that means work at Ashby does not always start with “let’s get all the data and metrics.” Data is one useful tool for resolving uncertainty; it is not automatically the first or only tool. That said, as the company matures and more teams optimize their work, demand for data will likely continue to grow. You will help us meet that demand with good judgment. WHY YOU SHOULD OR SHOULDN’T APPLY At Ashby’s current size, this is a player-coach role. You should expect to get hands-on with analytical work as you learn the business and the team, and to remain close enough to the work to guide its quality well. You could be a strong fit if you: - Have exceptional analytical judgment. You can calibrate the depth and rigor of an analysis to the decision at hand: knowing when precision matters, when uncertainty is material, and when additional work would not change the outcome. - Can produce and evaluate transparent, rigorous analysis. You bring readers along through the problem context, data considered, assumptions, meaningful cleaning or reduction steps, caveats, statistical pitfalls, and practical conclusion. - Are a strong visual and written communicator. You care about clear tables and charts, meaningful labels and definitions, coherent narratives, and making complex work understandable without overstating certainty. - Have deep hands-on SQL experience, plus working fluency with dbt-style data modeling, cloud data warehouses, and BI tools. You do not need to have owned a warehouse as a Data Engineer, but you should be comfortable working across the analytical data stack. - Have led, managed, or functionally acted as a manager for data practitioners in a high-growth company. Formal people-management experience is valuable, but not required if you have demonstrated equivalent judgment, coaching, hiring, and team-leadership abilities. - Bring a product-manager-like instinct for finding the core need behind a request, understanding users and business context, and turning ambiguous questions into useful work. - Are pragmatic and intellectually flexible. You see data as one important input to good judgment alongside qualitative research, collaboration, user understanding, and clear thinking. - Are intimately familiar with the B2B SaaS industry, workflows and organizational structures. - Have an eye and instinct for simplicity over complexity in all matters. - Have experience in a growth-stage, product-oriented technology company and are energized by helping a lean team scale. - You can appreciate the whole distribution as much as a point estimator. PUT ANOTHER WAY, YOU SHOULDN’T APPLY IF: - You are looking for a pure-management role removed from the details of analytical work. You will need to be comfortable getting hands-on as you learn the team and helping analysts work through difficult problems. - You have only worked in an environment where analysis begins after another team has fully prepared the data. Ashby analysts are expected to work across the stack, from modeling through final analysis and dashboards. - Spreadsheet-only analytical work is your preferred mode. Fluency with SQL in a modern data warehouse is essential. - You would rather use a metric, dashboard, experiment, or process by default than first ask what degree of evidence is actually needed to make a good decision. - You are looking for consumer-scale data infrastructure projects. We have a large and interesting dataset (see our Talent Trends https://www.ashbyhq.com/talent-trends-report reports!), but we are a B2B SaaS company. Relative to many B2C services, we are small but mighty. - You are seeking an in-person work experience. Ashby is remote, although there are employee hotspots around the world and we meet in person at various events throughout the year. - You have never formally managed a data team. Naturally, this role is important and represents a combination of different skills. You may not meet every dimension perfectly, and that’s OK. If the dot product of your skill vector with this requirements vector is close to 1, please consider applying, but please note it does not have to be 1.0. DATA CULTURE AT ASHBY At Ashby, we draw a clear distinction between when to look to data for "the answer" and when to use data to aid principled thinking for decision making. In general, a primary consideration is whether or not data is needed to help clarify points of uncertainty. When data is considered necessary, a secondary consideration is to what depth data will be required. Data questions lend themselves to ongoing "what about..." or "what if..." explorations, which can be important in some situations but are not always necessary. With these dynamics in mind, we do not foster an environment where every decision we make should be backed by data, but we do foster an environment where teammates ask whether or not data will fit the task at hand well. This, in turn, allows us to operate a lean team focused on projects where data provides true leverage to our overall business and product goals. As a related but distinct point, Ashby’s data culture, as far as transparency and access goes, is very open. We share company-wide access to our financial standings, progress, goals, and generally make any data and reporting results broadly available. Outside of constraints related to whether a teammate has access to a particular tool, there are close to no constraints on access the state of the company as told by data or reporting. In general, we would like to continue and extend open access to data throughout the company (with your help!), but with consideration and not as a substitute for principled thinking :) INTERVIEW PROCESS Our interview process is thorough, but we aim to be respectful of the total candidate time invested. We aim to ensure each person that joins the team is the right fit for Ashby and will provide ample information for you to determine if Ashby is the right fit for you. The expected process for this role is as follows: - Hiring Manager Screen (30 mins) - Technical Screen (45 min) - Assessment: Mini Analysis and Write-up (45min) - Final Round - Virtual Onsite (~2.5, can be split into multiple days) - (45 mins) Data Team: Analysis and Productivity - (45 mins) Data Team: Analysis and Collaboration - (30 mins) Business Partnership - (30 mins) Chat with a Founder - (15 mins) Follow-Up Conversation + Debrief with the Hiring Manager Note: please do not reach out to the broader Ashby team requesting more information or time to connect. We will diligently review all applications in detail after the public posting period is over. BENEFITS - Competitive salary and equity. - 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby - do it when you feel financially comfortable. - Unlimited PTO, and we will encourage you to take it. - A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements. - Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! - $100/month education budget with more expensive items (like conferences) covered with manager approval. - If you’re in the US, we offer top-tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high-quality supplemental health insurance for you and your dependents, also fully covered by us. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. If you've made it this far and are excited about Ashby, please apply and follow us on LinkedIn https://www.linkedin.com/company/ashbyhq to stay up to date! Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Ashby is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.