Senior Finance Data Engineer / Data Analyst

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., 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

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 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., 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 At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.