Senior Finance Data Engineer / Data Analyst
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
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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