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.
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
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Minimum of 8 years' overall relevant work experience
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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
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Experience with Onestream, SAP or Oracle tools