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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 1mo 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 we offer

This onsite role in Auburn Hills, Michigan gives you the chance to support Stellantis FP&A through Power BI based reporting and analytics. You will collaborate with a finance-focused team to design robust data models, ensure data accuracy and governance, and deliver insightful dashboards. The position emphasizes hands-on work across the complete Power BI data lifecycle, from data extraction and transformation (Bronze and Silver layers) to semantic modeling and dashboard delivery (Gold layer), with a clear focus on performance and security. You will also manage user access and role-based security within Power BI Service.

Responsibilities

  • Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
  • Ensure data accuracy, performance, and security across all 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 (e.g., Excel, CSV, 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 (e.g., P&L, revenue, cost, 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 PowerBI
  • 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 (e.g., SQL, Python) for advanced data transformation
  • Experience with OneStream, SAP or Oracle tools

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