Financial Analyst Lead (FP&A)

Position Type :

Full time

Type Of Hire :

Experienced (relevant combo of work and education)

Education Desired :

Bachelor's Degree

Job Description

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?

About The Team:

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.

About The Role:

The Financial Analyst Lead 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.

What You Will Be Doing:

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

Build ML-driven forecasting models using Python, AutoML, or Fabric ML

Translate business drivers into ML models

Support accuracy evaluation and scenario modeling

Build foundations for agentic forecasting

Collaborate with FP&A and Accounting teams

Support forecasting cycles with automated analytics

Identify automation opportunities

Standardize documentation and contribute to analytics roadmap

What You Will Need:

Bachelor’s degree in Finance, Analytics, CS, or related field

Generally requires 5+ years in FP&A, financial modeling, or data analytics

Power BI expertise (DAX, modeling)

Experience with Microsoft Fabric or Azure data platforms

Python/SQL and ML familiarity

Strong financial/AIS understanding

Added Bonus If You Have:

Experience with automated forecasting models

MLOps or Azure ML exposure

Advanced data engineering skills

Semantic model expertise

Understanding of agentic AI concepts

What We Offer You:

At FIS, you can learn, grow and make an impact in your career. Our benefits include:

Flexible and creative work environment

Diverse and collaborative atmosphere

Professional and personal development resources

Opportunities to volunteer and support charities

Competitive salary and benefits

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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