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Closed on August 9, 2026.

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Stellantis

Senior Finance Data Engineer / Data Analyst

Stellantis
Auburn Hills, MI Full time Posted 2mo ago
Analyst Analytics Business Analytics Business Intelligence Data Analysis Data Analytics Data Architecture Data Engineer Data Governance Data Integration Data Pipeline Data Platform Data Processing Data Security Data Visualization Data Warehouse Database Engineer ETL Finance Financial Analysis Financial Analyst Financial Analytics Financial Applications Financial Data Tools Financial Modeling FP&A FP&A FP&A FP&A Microsoft Power BI Power Platform Reporting and Analytics
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Job Description

What you gain

Stellantis offers an onsite Senior Finance Data Engineer / Data Analyst role in Auburn Hills, MI that centers on FP&A reporting and analytics powered by Power BI. You will apply advanced data management and modeling skills, underpinned by a solid understanding of financial concepts, to deliver reliable, scalable insights. This position prioritizes data accuracy, performance, and secure access across reporting tools, with opportunities to collaborate across finance teams in a fast paced, dynamic environment.

Responsibilities

  • Manage the full Power BI data lifecycle from data extraction and transformation (Bronze and Silver layers) to semantic modeling and dashboard development (Gold layer).
  • Ensure data accuracy, performance, and security across FP&A reporting tools.
  • Handle user access and role level security within Power BI Service.

Requirements

  • Advanced proficiency in Power BI, Power Query, and DAX.
  • Experience integrating data from multiple sources such as Excel, CSV, and ERP systems like SAP or OneStream.
  • Ability to clean, transform, and standardize data into analytics ready models.
  • Experience deploying and maintaining dashboards in Power BI Service.
  • Basic understanding of financial reporting structures such as P&L, revenue, cost, and variance analysis.
  • Strong analytical mindset with attention to data accuracy, consistency, and performance optimization.
  • Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field.
  • Minimum of 5 years' extensive experience with Power BI.
  • Minimum of 8 years' overall relevant work experience.
  • Thrive in a fast paced, dynamic work environment.

Technologies

  • Power BI
  • Power Query
  • DAX
  • Excel
  • CSV
  • SAP
  • OneStream
  • Power BI Service

Preferred Qualifications

  • Power BI certification or similar credentials.
  • Experience with ETL tools or scripting languages such as SQL or Python for advanced data transformation.
  • Experience with OneStream, SAP or Oracle tools.

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