ABBOTT LABORATORIES Data Analyst (Supply Chain) - Nutrition - Abbott Park, IL or Columbus, OH Salary in the United States

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 103,000 colleagues serve people in more than 160 countries.

Supply Chain Data Analyst

Main Purpose of Role

• Supply Chain Data Analyst works as integral part of the collaborative Sourcing and Capacity Planning team and responsible for analyzing data, drawing insights, and presenting results in a cohesive, intuitive, and simple manner to the functional stakeholders utilizing technologies to collect, clean, analyze, predict, and effectively communicate insights. Key functional stakeholders include AN and ANSC senior leadership, Commercial and Corporate.

Main Responsibilities

• Analyze data, draw insights, and present results in a cohesive, intuitive, and simple manner to functional stakeholder.
• Utilize technologies to collect, clean, analyze, predict, and effectively communicate insights such as model logic and restrictions.
• Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and proactively identifies opportunities for significant operational, process or system level product improvements for the business partner.
• Conduct advanced statistical analysis to determine trends and significant data relationships.
• Develop machine learning models to apply test data algorithms to future data.
• Validate models/analytical techniques and develop algorithms to execute analytical functions.
• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
• Work closely with the functional stakeholders to understand the domain and iteratively refine analyses.
• Provide learning and educational pathways for team members.
• Provides input into developing departmental and site processes and procedures.
• Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.
• Independently manages and consults in multiple complex projects working with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address needs.
• Experience in creating and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization, unstructured data analysis, and neural networks.
• Researches and adapts existing open-source algorithms when possible and develops novel techniques when needed.

Education

• Minimum 4 years of experience
• Data Analytics, Mathematics, Computer Science, Life or Physical Science, Engineering, Finance or closely related discipline is preferred.

Experience/ Background

• 4-6 years’ work-related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree.
• Experience in applying data analysis techniques to a large set of data using big data systems
• Advanced analytics knowledge and application in the field of: Statistics, Mathematical programming.
• Business acumen and experience with operational or strategic systems.

The Incumbent can reside in the Illinois area or Columbus, OH area