Junior Master Data Analyst - Nutrition - 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:

Junior Master Data Analyst

About Abbott

Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology.

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.

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:

• Training and career development, with onboarding programs for new employees and tuition assistance
• Financial security through competitive compensation, incentives and retirement plans
• Health care and well-being programs including medical, dental, vision, wellness and occupational health programs, Medical Benefits start day 1
• Vacation – 3 weeks accrued vacation (1st yr. is prorated) + vacation buy program + 3 personal days + 10 paid holidays
• 401(k) retirement savings with a generous company match of 5%
• 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 stability of a company with a record of strong financial performance and history of being actively involved in local communities

The Opportunity

Our location in Columbus, OH currently has an opportunity for a Junior Master Data Analyst in our Nutrition Division.  

Abbott Nutrition Supply Chain Master Data team's core purpose is to provide trusted master data that supports supply chain efficiencies.  The master data team has a global focus that supports all US plants along with the India and Singapore facilities.  The team is involved in most major Margin Improvement or Innovation projects along with corporate programs. Our internal customers are Production Planning, Internal Deployment, Third Party Manufacturing, Labeling, Purchasing, Finance, Innovation Project teams, Margin Improvement teams, and the manufacturing plants.

The master data team is a dynamic environment with competing priorities and multiple systems.  The job requires problem solving, attention to detail, customer service and drive for results attitude. Experience in master data management with customer, material, or vendor in SAP ECC or S/4, SAP APO, or AMAPS preferred. Ability to streamline processes through use of tools/processes like Six Sigma, Excel, Access, SharePoint, Cognos, or Power BI highly preferred.  

What You’ll Work On

• Research, validate, classify, and implement master data that adheres to business policies and procedures for all U.S., India, and Singapore plants.
• Responsible for maintaining the integrity of the master data procedures.
• Support audits to ensure consistency and integrity of master data elements and procedures.
• Work closely with internal customers to ensure master data set-ups are timely and accurate.
• Support continuous improvement, Corporate, Margin, and Innovation Projects for the team.
• Support master data and Supply Chain site level forecasting projects by extracting data, analyzing data, formatting data, or keying in changes into the system.
• Support interfaces to ensure errors are resolved before any downstream processes are delayed for production planning, inventory transactions, or or