Posted 2mo ago

Senior Analyst

@ Electronic Arts
Vancouver, British Columbia, Canada
HybridFull Time
Responsibilities:evaluate partnerships, collaborate teams, perform analyses
Requirements Summary:Senior Data Analyst with 4+ years of experience, proficient in SQL and Python, able to analyze data, build dashboards, and communicate insights.
Technical Tools Mentioned:SQL, Python, Looker, Power BI, Tableau
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Job Description
We evolve our games and how players interact with them by using the power of data to continuously uncover insights to deliver an even better player experience. We strive to be the best-in-class AI team in the gaming industry by maximizing the fun for EA players through easier deployment of AI-driven solutions for game makers. Our insights are ubiquitous through autonomous analytics.

We are looking for a Senior Data Analyst to join our Data and Insights team supporting EA Play & Subscriptions reporting to the Senior Analytics Manager. You will work with partners to understand player engagement, performance, and to identify product growth opportunities. You will use your skills to provide data-driven solutions to complex problems, translate qualitative/quantitative data into insights, and create recommendations to steer the product and marketing roadmap.
 
WHAT YOU'LL DO:
Evaluate existing partnerships and opportunities, special offers, and member benefits related to the subscription service

Collaborate with marketing, commercial, and game teams to deliver insights into user behaviour and to guide product and marketing decisions

Perform advanced statistical analyses to identify trends, patterns, and provide actionable insights

Develop dashboards and self-serve tools to communicate findings and performance metrics to our partners and encourage the use of data in product decisions

Identify opportunities for process improvements, automation, and the implementation of advanced analytics techniques

Communicate results and findings throughout the organization to all levels of leadership

QUALIFICATIONS:
4+ years of experience providing insights from data to guide optimization in E-commerce, product development, and/or loyalty marketing

University Degree in Statistics, Marketing, Business, E-commerce or related field of study

Proficient in SQL and Python (or equivalent)

Experience in data analysis, statistics, and experimentation

Experience with data visualization tools (Looker, Power BI, Tableau)

Storytelling skills for presenting technical findings to audiences with varying backgrounds

Understanding of loyalty and membership program analysis are an advantage