Senior Finance Data Engineer / Data Analyst

Fiat Chrysler Automobiles N.V.
Auburn Hills, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Auburn Hills, United States of America

Tech stack

Microsoft Excel
Business Analytics Applications
Analysis of Variance (ANOVA)
ETL
Data Transformation
Data Mining
Python
Oracle Applications
Performance Tuning
Power BI
OneStream
SAP Applications
SQL Databases
Systems Integration
Scripting (Bash/Python/Go/Ruby)
Powerquery
Information Technology
Data Analytics
Data Management
Tools for Reporting

Job description

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

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
  • 5+ years extensive experience with PowerBI
  • 8+ years overall relevant work experience
  • Thrive in a fast-paced, dynamic work environment, * 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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