Abbott 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 115,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

Working at Abbott

At 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 contribution
• Tuition 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 Opportunity

This 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 Delivery

• Extract, 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 delivery
• Design, build, maintain, and enhance dashboards and reporting solutions (e.g., Power BI) to support enterprise and business needs
• Ensure data integrity, consistency, and compliance with governance and privacy standards
• Contribute to the development of reusable data assets, standardized reporting frameworks, and reusable analytics assets

Advanced Analytics & Insight Generation

• Conduct deep-dive analyses across key workforce domains such as attrition, hiring, internal mobility, span of control, and organizational health
• Apply advanced analytical techniques, including statistical modeling, segmentation, predictive, and trend analysis using R and/or Python
• Translate data into clear, compelling insights and recommendations for both technical and non-technical audiences
• Support development and refinement of analytical models, approaches, and tools to enhance team capability
• Identify patterns, risks, and opportunities, and translate them into clear, actionable insights and recommendations
• Quantify the business impact of workforce trends and translate insights into measurable outcomes (e.g., attrition cost, hiring effectiveness, organizational efficiency)

Stakeholder Partnership & Consulting

• Partner with HR Business Partners, COEs, and other stakeholders to understand workforce challenges and define analytical approaches
• Translate ambiguous business problems into structured analytical frameworks and deliverables
• Deliver insights through clear storytelling and executive-ready narratives, tailored to both technical and non-technical audiences
• Influence decision-making through data-driven recommendations, even in complex or ambiguous situations
• Progressively lead analytics engagements with increasing independence and ownership

People Analytics Product Ownership & Innovation

• Own defined analytics solutions (e.g., dashboards, models, workforce domains) end-to-end, including design, delivery, and continuous improvement
• Apply product thinking to analytics—ensuring solutions are scalable, user-centric, and aligned to business needs
• Leverage automation and AI-enabled tools (e.g., Copilots, automated analytics platforms) to improve efficiency and speed to insight
• Connect analytical outputs to strategic workforce priorities such as workforce planning, scenario modeling, and HR investment decisions
• Incorporate external benchmarks and labor market insights to contextualize workforce analytics findings

Required Qualifications

• Bachelor’s degree in a quantitative or analytical field (e.g., Statistics, Data Science, Economics, I/O Psychology); Master’s preferred
• Minimum 5+ years of experience in people analytics, workforce analytics, or a related analytical role
• Proficiency in R and/or Python for data analysis and statistical modeling
• Strong 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 datasets
• Designed analytics solutions as scalable products (dashboards, models, data assets) with a focus on usability, adoption, and business impact
• Foundational understanding of AI/ML concepts and their application in business or HR analytics contexts
• Strong attention to detail with a commitment to data quality, governance, and confidentiality
• Ability to work independently and manage multiple priorities in a fast-paced environment

Preferred Qualifications

• Experience applying statistical methods such as regression, predictive modeling, or classification techniques in workforce contexts
• Familiarity 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 leaders
• Experience working with or exposure to Generative AI tools (e.g., Copilot, ChatGPT, or similar) in analytics, reporting, or workflow automation
• Familiarity 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 data
• Experience building scalable analytics solutions or enterprise reporting frameworks
• Understanding of labor market trends and external benchmarking

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:  www.abbottbenefits.com

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 www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter

     

The base pay for this position is

$78,000.00 – $156,000.00

In specific locations, the pay range may vary from the range posted.

     

JOB FAMILY:

HR Operations

     

DIVISION:

CHR Corporate Human Resources

        

LOCATION:

United States > Abbott Park : AP06B

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Yes, 5 % of the Time

     

MEDICAL SURVEILLANCE:

No

     

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

     

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

     

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

     

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf