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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 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

Stellantis, based in Auburn Hills, Michigan, is seeking a Senior Finance Data Engineer / Data Analyst to strengthen FP&A capabilities with Power BI–based reporting and analytics. The role centers on building scalable data models and managing the full data lifecycle from raw sources through semantic presentation, with a focus on data accuracy, performance, and secure access for financial users. This onsite position supports critical planning and analysis initiatives in a fast-paced environment.

Responsibilities

  • Oversee the end-to-end Power BI data lifecycle, from data extraction and transformation (Bronze and Silver layers) to semantic modeling and dashboard development (Gold layer).
  • Maintain data accuracy, performance, and security across all FP&A reporting tools.
  • Administer user access and implement 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.
  • Foundational understanding of financial reporting structures including P&L, revenue, cost, and variance analysis.
  • Strong analytical mindset with focus on data accuracy, consistency, and performance optimization.
  • Bachelor’s degree in Data Analytics, Computer Science, Financial Technology or related field.
  • Minimum of 5 years of extensive experience with Power BI.
  • Minimum of 8 years of overall relevant work experience.
  • Ability to 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 (SQL, Python) for advanced data transformation
  • Experience with OneStream, SAP or Oracle tools

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