Analytics Manager, FinTech

Location

Orlando, Florida, United States of America

• Austin
• United States of America
• Orlando
• United States of America
• Redwood City
• United States of America
• Vancouver
• Canada

Role

211831

Worker Type

Regular Employee

Studio/Department

Finance

Work Model

Hybrid

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

The Finance organization at EA is transforming how insights, automation, and technology enable faster, smarter decisions across all Finance disciplines. As part of our multi-year Finance Transformation, we are modernizing analytics and AI capabilities that unify data, platforms, and processes to create a scalable, intelligent Finance ecosystem.

We are seeking an Analytics Manager to build analytics and machine learning solutions that reduce manual work, improve forecast and reporting efficiency, and enable automation across Controllership, Tax, Treasury, and Strategic Finance. You will design thin Direct Lake models, trusted measures, predictive models, and executive-ready visuals that provide real-time, actionable insights.

This role partners closely with Finance Technology, Data & Insights, and other Finance teams to develop reusable models, templates, and data assets that strengthen the analytical foundation for automation and AI-driven insights. You will report to the Senior Manager, Fin Tech Data and Insights. This is a hybrid role defined as minimum of 3 days a week from an EA Office.

Responsibilities & Outcomes

Finance Data & Modeling

• Build and maintain thin Direct Lake semantic models and report templates for GL performance, Opex and headcount, project finance, and revenue analysis.
• Develop predictive and machine learning models that identify financial trends, forecast key metrics, and improve planning accuracy.
• Design parameterized Dataflows and Warehouse views to support self-service analytics across all Finance teams.
• Implement RLS and OLS patterns, aggregation strategies, and Delta hygiene to ensure scalability and performance.
• Use notebooks for data preparation, feature engineering, and model writeback when required.

Transformation & Enablement

• Collaborate with Finance Technology and Data & Insights teams to align models with governed datasets, enterprise data standards, and automation strategy.
• Partner with Finance stakeholders to identify opportunities for process automation and predictive analytics.
• Document models, maintain metadata, and lead enablement sessions to strengthen self-service analytics capabilities.
• Promote adoption of standardized models, templates, and visualization frameworks to improve consistency and reduce reporting cycle time.

AI & Automation Integration

• Build and deploy machine learning and predictive models that enhance Finance's ability to forecast, simulate, and optimize business outcomes.
• Integrate AI and automation capabilities into Finance workflows, driving measurable efficiency and insight generation.
• Contribute to Finance's readiness for generative and advanced analytics applications through reusable, high-quality datasets.

Required Qualifications

• 5 plus years of experience in analytics, business intelligence, or data science with deep Power BI and SQL expertise.
• Hands-on experience with Microsoft Fabric Lakehouse or Warehouse, Direct Lake, and DAX at enterprise scale.
• Experience building and deploying machine learning or predictive models using Python, PySpark, or related frameworks.
• Strong understanding of Finance concepts including plan vs. actuals, variance analysis, and scenario modeling.
• Experience supporting Finance transformation, AI, or analytics modernization initiatives.

Pay Transparency - North America

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.

Pay is just one part of the overall compensation at EA.

In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby,…