Senior Data Analyst

As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.

With more opportunity than ever to design, innovate, and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.

EA SPORTS FC Mobile Shanghai is a global team devoted to developing and operating a high-quality mobile football game experience. Our quest for creativity, respect for autonomy, and emphasis on collaboration are at the heart of our team culture, which empowers us to create high-quality games and experiences worldwide.

As a team, we are passionate, innovative, and open to possibilities. We learn from past experiences and strive for progress. We value team synergy and believe a relaxed working environment can yield better results. That's why we promote and support maintaining a healthy work-life balance.

You will report to the Sr. Analytics Manager, FC Mobile Data Team.

Responsibilities:

• You will define measurements and instrumentation/telemetry specs (events, parameters, schemas) to track in-game behavior and partner requests.

• You will perform deep dives on player segments, funnels, progression, churn, and spend; translate findings into prioritized actions.

• You will design and evaluate A/B and multivariate tests; measure impact of events, content updates, and campaigns.

• you will build and maintain dashboards, recurring reports, and self-serve queries for daily performance facilitating decision-making.

• You will apply AI/ML techniques in data & analytics (e.g., segmentation, propensity, LTV/churn models, anomaly detection, forecasting) to improve targeting and outcomes.

• You will communicate insights through clear storytelling and recommendations to global partners.

Qualifications:

• More than five years in analytics/data roles; advanced SQL plus Python or R.

• Strong foundation in statistics/experimentation and applied modeling; experience with machine learning is required.

• Experience with large-scale data environments (e.g., Hadoop/Spark, Redshift/BigQuery/Snowflake).

• BI/dashboard experience (e.g., Tableau/Looker/Power BI).

• Strong cross-functional collaboration and communication across regions/time zones.

• English is required.

Work Arrangement

Hybrid/Onsite with flexible work options.