About the role
Voldex is a leading gaming company focused on Roblox, the most exciting ecosystem in gaming today. We are home to several of Roblox's top games, including Brookhaven, Driving Empire, and NFL Universe Football. With over 160 million monthly active players across our games, we are one of the biggest Roblox studios by audience size. Founded in 2015, we have since grown to 95+ full-time remote team members across the globe.
Responsibilities: Lead, mentor, and develop a team of four analysts embedded across Brookhaven, Driving Empire, and NFL Universe Football, providing clear direction, feedback, and growth opportunities. Own the analytics function's centralized roadmap covering tooling, instrumentation, automation, and enablement priorities. Partner with each game team's product manager and analysts to maintain a prioritized backlog of analytics work aligned to their roadmap. Establish and maintain high standards for analytical methodology across the portfolio, including A/B testing governance, telemetry design, and data storytelling. Identify and drive opportunities to automate reporting, improve self-serve access to data, and incorporate AI tooling to raise
the team's output. Ensure
the team is producing clear, decision-oriented outputs that are trusted by game leads and leadership. Create systems for knowledge sharing across the analytics team, including regular analysis reviews, shared documentation, reusable templates, cross-game learnings, and opportunities for analysts to present work to one another.
Requirements: 5+ years of experience in analytics or data science, with at least 2 years managing or leading an analytics team. Demonstrated ability to develop analysts at multiple levels, with a track record of raising the quality and impact of a team's output. Deep expertise in A/B testing and experimentation: hypothesis design, power analysis, statistical significance, and communicating results to non-technical stakeholders. Advanced SQL skills and fluency across a modern data stack including data warehousing, BI tooling, and analytics engineering. Strong understanding of consumer product KPIs, particularly retention, engagement, and monetization in a live service or F2P context. Clear point of view on where AI and automation can improve how an analytics team operates, with experience driving adoption. Excellent cross-functional communication skills; able to translate data into decisions for both technical and executive audiences.