Data-Driven Supply Chain Analyst | SQL, Python & Power BI

American Electric Power; Columbus (OH); On-site; USD 75,000 - 93,000; Full time

Job summary

American Electric Power is seeking a data analytics professional in Columbus, OH to support market research, benchmarking, and reporting. You will leverage SQL and Python to wrangle data and develop executive-ready Power BI dashboards, partnering with stakeholders across the organization to translate business questions into data models.

The role requires building efficient data foundations, maintaining planning documentation, and identifying trends and issues to drive improvements with minimal

Qualifications

• Bachelor’s degree required in Supply Chain, Business Finance, Accounting or related field; minimum 3 years in Supply Chain, Procurement, Fleet or IT.
• Associate’s degree with minimum 5 years in Supply Chain, Procurement, Fleet or IT.
• High School Diploma with minimum 7 years in Supply Chain, Procurement, Fleet or IT.

Responsibilities

• Design, write, and optimize complex queries across multiple data marts and tables.
• Build warehouse tables as a foundation for reporting and analysis.
• Apply Python for data transformation, automation, and workflows.

Education

Bachelor's degree in Supply Chain Management, Business Finance, Accounting, or related field

Associate’s Degree in related field

High School Diploma or equivalent

Tools

SQL

Python

Power BI

MS-Office

Job description

American Electric Power is seeking a data analytics professional in Columbus, OH to support market research, benchmarking, and reporting. You will leverage SQL and Python to wrangle data and develop executive-ready Power BI dashboards, partnering with stakeholders across the organization to translate business questions into data models.

The role requires building efficient data foundations, maintaining planning documentation, and identifying trends and issues to drive improvements with minimal