Senior Finance Data Engineer / Data Analyst

Stellantis; Auburn Hills (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

Stellantis in Auburn Hills, Michigan is seeking a Finance Data Engineer / Data Analyst to develop and maintain Power BI-based financial reporting and analytics solutions. You will manage the full Power BI data lifecycle, ensuring accuracy, security, and performance in reporting tools.

The ideal candidate will have over 5 years of Power BI experience and a strong foundation in financial concepts. Join our dynamic team and thrive in a fast-paced environment!

Qualifications

• 5+ years of extensive experience with Power BI.
• 8+ years of relevant work experience.
• Ability to thrive in a fast-paced, dynamic work environment.

Responsibilities

• Manage the full Power BI data lifecycle from data extraction to dashboard development.
• Ensure data accuracy, performance, and security across all FP&A reporting tools.
• Handle user access and role-level security within Power BI Service.

Skills

Advanced proficiency in Power BI

Power Query

DAX

Data transformation

Data modeling

Analytical mindset

Education

Bachelor’s degree in Data Analytics, Computer Science, Financial Technology

Tools

Power BI Service

ETL tools

SQL

Job description

We are seeking a FinanceData Engineer / Data Analystto 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

Basic Qualifications:

• 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

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