Financial Analyst Senior; FP&A

Position Type

Full time

Experienced (relevant combo of work and education)

Bachelor's Degree

As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we'd like to ask you:
Are you FIS?

The team partners closely with finance, data, and technology leaders to modernize financial insights, enable scalable decision making, and advance the use of advanced analytics and AI across the organization. The environment emphasizes strong fundamentals, thoughtful innovation, and building solutions that are practical, trusted, and enterprise ready.

The Financial Analyst Senior will play a pivotal role in modernizing the financial forecasting and reporting capabilities of the organization. This position bridges finance, data engineering, and advanced analytics, leveraging Microsoft Fabric, Power BI, and AI/ML to build automated, intelligent financial processes. The analyst will design the foundational data structures, pipelines, and models that enable automated forecasting and set the stage for agentic (autonomous) forecasting routines.

• Enable and maintain automated data pipelines in Microsoft Fabric
• Develop data models and transformations to support forecasting and reporting
• Ensure data quality, lineage, and governance
• Develop advanced Power BI dashboards and semantic models
• Optimize models for performance and scalability
• Create reusable reporting templates
• Train ML-driven forecasting models
• Translate business drivers into ML models
• Support accuracy evaluation and scenario modeling
• Build foundations for agentic forecasting
• Lead the FP&A function and collaborate with across all functions
• Lead forecasting cycles with automated analytics
• Identify automation opportunities
• Standardize documentation and contribute to analytics roadmap

• Bachelor's degree in Finance, Analytics, CS, or related field
• Generally requires 3+ years in FP&A, financial modeling, or data analytics
• Power BI expertise (DAX, modeling)
• Experience with Microsoft Fabric or Azure data platforms
• Some comfort level with Python, SQL and ML concepts
• Strong financial/AIS understanding
• Solid GAAP and Financial Statements foundation

• Experience with automated forecasting models
• MLOps or Azure ML exposure
• Advanced data engineering skills