Data Engineer — Distribution Analytics & Dashboards

Paycom - ATS; Minneapolis (MN); On-site; USD 90,000 - 120,000; Full time

Job summary

Paycom - ATS is seeking a Data Engineer to build and maintain dashboards and data pipelines across sales, inventory, warehouse, and vendor systems. You will transform ERP and POS data into actionable insights for branch managers, purchasing teams, and leadership.

The role focuses on inventory decisions, pricing accuracy, and operational efficiency across the distribution network, with collaboration across end users and sales leadership.

Qualifications

• Bachelor's degree in information systems, business analytics, or related field.
• Experience as a data/reporting analyst in distribution, wholesale, or supply chain.
• Proficiency in SQL with complex queries and ERP joins.
• Experience with at least one BI tool (Power BI, Tableau, or Qlik).
• Familiarity with ERP systems (Infor or similar) and inventory concepts.

Responsibilities

• Design and maintain dashboards for distribution metrics (inventory turns, fill rates, branch sales).
• Write and optimize SQL queries against ERP data for pricing, purchasing, and sales reporting.
• Automate recurring reports for sales, purchasing, and branch operations.
• Maintain data pipelines from ERP, WMS, and e-commerce platforms to data warehouse.
• Support data quality, governance, and cross-system reconciliations.

Skills

SQL proficiency

BI tools experience

Analytical skills

End-user communication

Education

Bachelor's degree in Information Systems/Business Analytics or related field

Tools

Power BI

Tableau

Qlik

Infor ERP

SQL Server

Postgres

Job description

Paycom - ATS is seeking a Data Engineer to build and maintain dashboards and data pipelines across sales, inventory, warehouse, and vendor systems. You will transform ERP and POS data into actionable insights for branch managers, purchasing teams, and leadership.

The role focuses on inventory decisions, pricing accuracy, and operational efficiency across the distribution network, with collaboration across end users and sales leadership.