Data Analyst - BigBox VR

$124,000 - $176,000/Yr

Meta - Lansing, MI

Full-time - Mid Level

Lansing, MI

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About the position

The Data Analyst at BigBox VR plays a crucial role in understanding player experiences and driving business decisions through data analysis. This position involves collaborating with game teams to analyze metrics, implement A/B testing, and provide insights that can enhance game performance and player engagement. The ideal candidate is proactive, skilled in quantitative analysis, and capable of translating complex data into actionable recommendations for stakeholders.

Responsibilities

• Become an expert on the player experience and the relationships between in-game systems, features, and engagement metrics
• Discover insights by analyzing data and player experiences, leading to moving the needle on metrics that drive business goals
• Instrument products to collect the data needed to answer anticipated questions in the future
• Collaborate with legal to document, verify, and protect user data from improper usage
• Collaborate with the team to define metrics, evaluate if the player experience is in line with product goals and KPIs, and make projections of expected future trends
• Create visualizations and dashboards to present findings to a wide variety of stakeholders
• Evaluate and recommend new tools and implementations for data recording, analysis, and visualization
• Provide relevant context to inform/influence group decision-making, understand the impact of recurring releases, compare changes to historical trends, and recommend improvements to move key metrics
• Mentor and share best practices with other Analysts in the studio and at Meta
• Establish standards around data formatting and requirements

Requirements

• 5+ years experience in quantitative analysis, presentation, and driving business direction using data
• 5+ years experience with live service products, free to play games, or social products
• 5+ years experience in SQL and ETL
• 5+ years experience in data manipulation/visualization tools (e.g. Python, R, Spyder, Jupyter notebook)
• Proven track record of effectively working with business leaders to translate ambiguous questions into actionable data to drive product direction
• Experience initiating and driving multiple projects to completion
• Experience quickly iterating with the team to find and share performance results
• Experience with statistics (e.g., hypothesis testing, regression analysis)
• Experience with Root Cause analysis

Nice-to-haves

• Experience with machine learning techniques (clustering, classification, prediction, etc)
• Experience with econometric concepts and methods (IV, synthetic controls, etc)
• Experience with popular first-person shooter and battle royale games
• Experience with monitoring analytics for games, particularly VR titles

Benefits

• Bonus
• Equity
• Health benefits