Data Analyst, AbbVie Complete Access (onsite 3-days per week)

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

This role is onsite 3 days per week out of our Abbott Park Campus; relocation assistance is not available at this time

The Data Analyst, AbbVie Complete Access is a key contributor of Supply Chain data analytics. The analyst synthesizes and leverages data-sets based on applied modeling and analysis of data sources with process knowledge of all the key processes in supply chain, particularly around planning, distribution and logistics and its interdependencies. The Data Analyst, AbbVie Complete Access presents results to management and business partners to support high-impact business value decisions. Engages with the business and IT on (data) governance to make sure that Data and Business Processes are aligned, with high-performance and agile processes as result. Closely collaborates and builds effective relationships with team and business partners to understand the data and related improvement needs of the business. Continuously searches for innovative ways to drive awareness on data driven opportunities and will be recognized as a key member in the analytics/data science area within supply chain domain.

Responsibilities

• Passionate and maintains pragmatic approach to all data conclusions and solutions in large datasets
• Effectively analyzes diverse sources of data to achieve targeted outcome
• Apply modeling concepts to solve medium-complex business questions
• Support the development of an “analytical capability” and “big data” concepts to become the business expert in these areas
• Closely collaborates with IT and business partners to set priorities and provides support on Business Data Management (Governance)
• Translates large data sets, analysis and complex models in usab