Product Analyst

Job Description

Analytics at Epic

What we do

Use your expert experience in data & analytics to build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What you'll do

We are looking for a Product Analyst to join us on the Analytics team. You will focus on analyzing in-game monetization initiatives with the insights, learnings, and trends you surface shared across departments and used in pursuit of making Rocket League better. This will be a hands-on role with lots of time spent analyzing and extracting insights from granular data.

In this role, you will
• Perform analysis on product sales data over time, comparing and contrasting offerings and providing future facing insights and recommendations
• Curate ongoing products and systems like in-game store offerings and underlying product metadata
• Propose workable initiatives to Analytics, Marketing, and Development teams that positively drive KPIs while protecting our player-first values
• Interact with a multitude of types and sizes of data systems
• Liaise with other departments to determine project needs and requirements

What we're looking for
• 3+ years of professional experience writing and maintaining advanced SQL objects and interacting with databases, preferably MySQL and/or BigQuery
• 3+ years of professional experience working with large and complex datasets
• Demonstrated experience addressing multiple project and stakeholder needs, and translating and communicating results of analyses to non-technical stakeholders
• Demonstrated experience with reporting, presentation and visualization of resulting data
• Strong written and verbal communication skills
• Someone who is user-focused, passionate, scrappy, solutions-focused, and innovative. These traits equal success at Epic and influence everything we do.

Nice to have skills
• A veteran Rocket League player that understands community desires and tolerances related to in-game monetization
• Experience automating data workflows
• Experience with object-oriented programming (Python, C#, Go)
• Experience with Cloud Computing (AWS, Google Cloud, Azure) and associated infrastructure
• Experience creating and working with ML models
• Experience with Tableau or similar data visualization software

Jobcode: Reference SBJ-gx3504-18-220-64-128-42 in your application.