Business Intelligence Data Analyst - Nutrition - Abbott Park, IL or Columbus, OH

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 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

Business Intelligence Data Analyst

Working at Abbott

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 them get the nutrients they need to live their healthiest lives.

At Abbott, you can do work that matters, grow, and learn, care for yourself and your 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 a 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 worldwide 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 the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Abbott Park, Illinois or Columbus, Ohio location in the Nutrition Division.  

As a member of the Business Analytics Team, leverage the use of data and manage projects within Abbott Nutrition Supply Chain (ANSC) and cross functional teams, creating and maintaining analytics dashboards and reports using data visualization applications such as Microsoft Power BI (Business Intelligence) and other tools. 

What You’ll Work On 

• The position is responsible for partnering with cross-functional teams to drive visibility to data to enable a nimble and agile decision-making organization, which includes: 
• Hands-on creation and maintenance of metric visualizations and dashboards for ANSC in the Microsoft Power BI Azure environment and leveraging other tools such as Power App and Power Automate.   
• Develop SQL queries to research, analyze, and troubleshoot data and to create business reports. 
• Develop and maintain data pipelines using Azure Data Factory and Azure Databricks. 
• Design, communicate, and implement an operational plan for completing a project; monitor progress and performance against the project plan; resolve operational problems, minimize delays. 
• Prepare documentation such as data flow diagrams, requirements specifications, designs, support documentation, and develop schedules and timelines.  
• Estimate costs, resources, and time required to complete projects. 
• Conduct project meetings and prepare reports to communicate the project's status within the team and for key stakeholders and sponsors outside the project team. 

Required Qualifications

• A bachelor’s degree in data science, statistics, mathematics, information science, or related field
• At least three years of experience as a data analyst, data scientist, BI analyst, or related profession
• Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis
• Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel

Preferred

• Expert knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
• Knowledge of data visualization best practices to effectively communicate insight.
• Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights.
• Familiarity with data modeling and data warehousing concepts
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