Advanced Data Analyst - EA Sports FC Live

Global Sports Jobs Limited; Vancouver; On-site; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Vacation 3 weeks

Sick time 10 days

Top-up EI/QPIP

Health coverage

Life insurance

Disability insurance

Retirement plan

Bonus eligibility

Job summary

Electronic Arts is seeking an Advanced Data Analyst within the FC Data & Analytics team. The role focuses on forecasting and performance modelling for the FC live service, translating trends and player behaviour into actionable projections to guide decision-making.

Requires a quantitative degree, 7+ years in data roles with big data, and 4+ years in forecasting. Strong SQL, Python/R, and Tableau/PowerBI skills are essential. Vancouver-based, on-site with strong executive-facing communication.

Qualifications

• Degree in analytics, statistics, maths, economics or finance.
• 7+ years in a data-driven role with big data.
• 4+ years forecasting/product/performance projections.
• Strong statistical/time-series modelling experience.
• Expertise in SQL with large datasets.
• Proficient in Python or R for analysis.
• Experience with data visualization tools (Tableau/PowerBI).
• Strong project management and executive presentation skills.

Responsibilities

• Own forecasting framework for live service performance.
• Apply financial modeling, time series analysis and related techniques.
• Develop models projecting live service funnel metrics with context on player behaviour and content.
• Collaborate with Product, Finance and Commercial to align projections.
• Establish scalable forecasting processes with cross-functional teams.
• Present model results to senior and executive stakeholders.
• Run scenario analyses based on content plans and feature changes.
• Mentor analysts to evolve forecasting practices.

Skills

Forecasting

Big data

Executive presentations

Project management

Education

Quantitative degree

Tools

SQL

Python

R

Tableau

PowerBI

Job description

About the Role

The Advanced Data Analyst role sits within EA's FC Data & Analytics team, which supports FC's live service business by providing data and insights around player behaviour and live content performance. Reporting to a Senior Analytics Manager, the analyst will lead forecasting and performance modelling for the FC franchise's live service operations. The purpose of the role is to combine strong quantitative forecasting expertise with business intuition to translate historical trends, player behaviour, and live content strategies into actionable projections that inform decision-making. The role intersects analytics, strategy, and live service operations, helping shape how FC plans and measures performance at scale.

Key Responsibilities

• Own the forecasting framework that underpins performance measurement, planning, and strategic decision-making across FC's live service business.
• Employ an extensive toolkit of financial modelling techniques, time series analysis, and a deep knowledge of their use cases.
• Develop a robust model that projects live service funnel metrics to a high degree of fidelity, incorporating player behaviour, in-game content, and macroeconomic trends.
• Collaborate with partners across Product Management, Finance, and Commercial teams to align on projections, and keep the business updated on how the latest live service performance impacts the model's assumptions.
• Establish scalable forecasting processes that enable work with cross-functional partners to efficiently and effectively refine projections over time.
• Lead presentations to diverse audiences including senior and executive level management, distilling complex model results into clear insights and recommendations.
• Run risk and opportunity scenarios based on live content plans, new feature additions, and other potential changes in the FC product.
• Mentor and collaborate with other analysts to collaboratively develop forecasts and drive evolutions in modelling in this space.

Required Experience & Qualifications

• A degree in a quantitative discipline such as Analytics, Statistics, Mathematics, Economics, Finance, or a similar field.
• 7+ years of experience in a data-driven role performing quantitative analysis with big data to help guide decisions.
• 4+ years of experience developing financial/product performance projections and forecasts using various modelling techniques.
• Strong experience in statistical and/or time series modelling for predictive purposes.
• Expertise in SQL and working with large-scale, complex datasets.
• Proficient in analysing large datasets using programmatic tools such as Python or R.
• Experience with data visualisation software such as Tableau or PowerBI.
• Strong capabilities in project management processes.
• Very comfortable presenting analysis in an executive facing environment.
• Strong quantitative forecasting expertise combined with business intuition, with the ability to translate historical trends, player behaviour, and live content strategies into actionable projections.

Workplace

• British Columbia, Canada (depending on location, e.g. Vancouver vs. Victoria)

Benefits & Perks

• Vacation: 3 weeks per year to start.
• 10 days per year of sick time.
• Paid top-up to EI/QPIP benefits up to 100% of base salary when welcoming a new child (12 weeks for maternity, 4 weeks for parental/adoption leave).
• Extended health, dental, and vision coverage.
• Life insurance.
• Disability insurance.
• Retirement plan for regular full-time employees.
• Certain roles may also be eligible for bonus and other incentive programs.