Financial Analysis Developer Jobs

1 job found

4d ago

Senior Finance Data Engineer / Data Analyst

Stellantis Auburn Hills, MI

Auburn Hills, MI

4d ago

Full time Analyst Analytics Business Analytics

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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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