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["Automotive","Manufacturing","Mobility"]

Senior Finance Data Engineer / Data Analyst

Auburn Hills, Michigan, United StatesOnsiteFull TimeSeniorPosted 2 months agoVisa sponsorship available

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Role summary

Seeking a Senior Finance Data Engineer / Data Analyst to support FP&A by developing and maintaining Power BI financial reporting and analytics solutions. Responsibilities include managing the full Power BI data lifecycle from extraction and transformation to semantic modeling and dashboard development, ensuring data accuracy, performance, and security. The role requires advanced proficiency in Power BI, Power Query, and DAX, experience integrating data from various sources, and a foundational understanding of financial concepts. A Bachelor's degree and 5+ years of Power BI experience are required, with 8+ years of overall relevant experience.

We are seeking a Finance Data Engineer / Data Analyst to support the FP&A organization by developing and maintaining Power BI–based financial reporting and analytics solutions. The ideal candidate will have strong data management and modeling skills, paired with a foundational understanding of financial concepts.

Responsibilities Include:

  • 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

Key Skills & 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

Requirements:

Basic Qualifications:

  • Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
  • 5+ years extensive experience with PowerBI
  • 8+ years overall relevant work experience
  • Thrive in a fast-paced, dynamic work environment

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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