Job Description

Job ID: 31157000Company: Abbott LaboratoriesLocation: United States - Illinois - Abbott ParkJob Type: Full timeCategory: Human ResourcesIndustry: HealthcarePosted Date: 2026-08-21Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.Working at AbbottAt Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:Career development with an international company where you can grow the career you dream of.Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.An excellent retirement savings plan with high employer contributionTuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.The OpportunityThis position works out of our Abbott Park, IL location within the CHR Corporate Human Resources division.This role plays a key part in advancing data-driven workforce decisions by delivering high-quality analytics, insights, and scalable reporting solutions.Reporting to a Senior Manager, this position combines strong technical execution with increasing consultative engagement, partnering with HR Strategic Business Partners (HRBPs) and stakeholders to support critical workforce initiatives.The ideal candidate is both analytically rigorous and business-curious, capable of transforming complex data into actionable insights while continuing to build capability in stakeholder partnership, problem framing, and advanced analytics. It is a consulting-oriented analytics position designed to build future leaders in workforce strategy, advanced analytics, and data-driven decision-making.What You'll Work On:Data Engineering & Analytics DeliveryExtract, transform, and validate data from enterprise HR systems and cloud-based platforms (e.g., Azure)Develop and optimize scalable SQL-based data pipelines to enable efficient analytics deliveryDesign, build, maintain, and enhance dashboards and reporting solutions (e.g., Power BI) to support enterprise and business needsEnsure data integrity, consistency, and compliance with governance and privacy standardsContribute to the development of reusable data assets, standardized reporting frameworks, and reusable analytics assetsAdvanced Analytics & Insight GenerationConduct deep-dive analyses across key workforce domains such as attrition, hiring, internal mobility, span of control, and organizational healthApply advanced analytical techniques, including statistical modeling, segmentation, predictive, and trend analysis using R and/or PythonTranslate data into clear, compelling insights and recommendations for both technical and non-technical audiencesSupport development and refinement of analytical models, approaches, and tools to enhance team capabilityIdentify patterns, risks, and opportunities, and translate them into clear, actionable insights and recommendationsQuantify the business impact of workforce trends and translate insights into measurable outcomes (e.g., attrition cost, hiring effectiveness, organizational efficiency)Stakeholder Partnership & ConsultingPartner with HR Business Partners, COEs, and other stakeholders to understand workforce challenges and define analytical approachesTranslate ambiguous business problems into structured analytical frameworks and deliverablesDeliver insights through clear storytelling and executive-ready narratives, tailored to both technical and non-technical audiencesInfluence decision-making through data-driven recommendations, even in complex or ambiguous situationsProgressively lead analytics engagements with increasing independence and ownershipPeople Analytics Product Ownership & InnovationOwn defined analytics solutions (e.g., dashboards, models, workforce domains) end-to-end, including design, delivery, and continuous improvementApply product thinking to analytics—ensuring solutions are scalable, user-centric, and aligned to business needsLeverage automation and AI-enabled tools (e.g., Copilots, automated analytics platforms) to improve efficiency and speed to insightConnect analytical outputs to strategic workforce priorities such as workforce planning, scenario modeling, and HR investment decisionsIncorporate external benchmarks and labor market insights to contextualize workforce analytics findingsRequired QualificationsBachelor’s degree in a quantitative or analytical field (e.g., Statistics, Data Science, Economics, I/O Psychology); Master’s preferredMinimum 5+ years of experience in people analytics, workforce analytics, or a related analytical roleProficiency in R and/or Python for data analysis and statistical modelingStrong SQL skills and experience working with large datasets in cloud environments (e.g., Azure)Proficiency in data visualization tools (e.g., Power BI, Tableau)Experience with data extraction, cleaning, and transformation in structured datasetsDesigned analytics solutions as scalable products (dashboards, models, data assets) with a focus on usability, adoption, and business impactFoundational understanding of AI/ML concepts and their application in business or HR analytics contextsStrong attention to detail with a commitment to data quality, governance, and confidentialityAbility to work independently and manage multiple priorities in a fast-paced environmentPreferred QualificationsExperience applying statistical methods such as regression, predictive modeling, or classification techniques in workforce contextsFamiliarity with HR data domains (e.g., employee lifecycle, recruiting, engagement, DEI, performance)Experience working in a consultative or project-based analytics environment with HR or business leadersExperience working with or exposure to Generative AI tools (e.g., Copilot, ChatGPT, or similar) in analytics, reporting, or workflow automationFamiliarity with applying AI techniques to unstructured data (e.g., text analytics, sentiment analysis from surveys or feedback)Exposure to executive-level communication and storytelling with dataExperience building scalable analytics solutions or enterprise reporting frameworksUnderstanding of labor market trends and external benchmarkingLearn more about our health and wellness benefits, which provide the security to help you and your family live full lives: Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.Connect with us at , on Facebook at and on TwitterThe base pay for this position is $78,000.00 – $156,000.00. In specific locations, the pay range may vary from the range posted.Skillsrpythonsqlpower biazuredata engineeringdata pipeline developmentstatistical modelingdata visualizationtableaudata extractiondata cleaningdata transformationdashboard designworkforce analyticspredictive modelingtrend analysisdata governancedata privacy compliancestakeholder managementexecutive communicationconsultative analyticsproduct ownershipai/ml applicationgenerative ai toolstext analyticssentiment analysislabor market benchmarkinghr analyticsscenario modeling

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