Financial Analyst Senior; FP&A

Job Description

FIS is seeking a Financial Analyst Senior to modernize the financial forecasting and reporting capabilities of the organization. The role bridges finance, data engineering, and advanced analytics, leveraging Microsoft Fabric, Power BI, and AI/ML to build automated, intelligent financial processes.

Our 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 design the foundational data structures, pipelines, and models that enable automated forecasting and set the stage for 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 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/AI understanding
• Solid GAAP and Financial Statements foundation

• Experience with automated forecasting models
• MLOps or Azure ML exposure
• Advanced data engineering skills
• Semantic model expertise
• Understanding of agentic AI concepts

• Flexible and creative work environment
• Diverse and collaborative atmosphere
• Professional and personal development resources
• Opportunities to volunteer and support charities
• Competitive salary and benefits

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics.