Business Intelligence Specialist, Global Finance Operations

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

Our nutrition business develops science-based nutrition products for people of all ages, from helping babies and children grow, to keeping adult bodies strong and active. Millions of people around the world count on our leading brands – including Similac®, PediaSure®, Pedialyte®, Ensure®, and Glucerna® – to help get the nutrients they need to live their healthiest life. 

Our finance organization is focused on transforming how we operate—leveraging automation, data, and digital tools to drive efficiency, accuracy, and scalability across global processes. This role will play a key part in advancing that transformation by leading projects that modernize financial operations and enable data-driven decision-making.

WHAT YOU’LL WORK ON

Responsibilities:

• Execute global finance automation and process improvement projects. 

• Partner with finance, accounting, IT, and cross-functional stakeholders to identify opportunities for automation, standardization, and efficiency gains across global processes.

• Drive adoption/introduction of Power Platform tools (Power BI, Power Query, Power Automate, and Power Apps) to the Nutrition finance organization.

• Leverage SQL and data querying capabilities to support data validation, reporting, and automation initiatives.

• Accountable for training, user adoption, and ongoing support activities associated with enterprise system integration and business transformation initiative.

• Support data infrastructure initiatives, including working with modern platforms such as Databricks to enable scalable and efficient data processing.

• Promote a culture of continuous improvement, innovation, and operational excellence within the finance organization.

EDUCATION AND EXPERIENCE, YOU’LL BRING

Required:

• Bachelor’s degree in Business, Finance, Information Systems, or a related field

• Minimum 5 years of experience in project management, preferably within finance, transformation, or technology-driven environments

• Transformative and vision-driven mindset, willing to challenge the status-quo.

• Strong analytical, problem-solving, and organizational skills with attention to detail

• Significant experience with Microsoft Power Platform tools (Power BI, Power Query, Power Automate, Power Apps)

• Experience with SQL for data extraction, transformation, and validation

• Ability to engage stakeholders across multiple levels and geographies

• Demonstrated ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment

Preferred:

• Experience with Databricks or similar cloud-based data platforms.

• Familiarity with finance processes (FP&A, accounting, reporting, or forecast processes)