Voldex Games - Manager, Data Analytics

Remote - ET (Eastern)2mo ago

Remote Mid NA Data Analytics Gaming Head of Analytics Product Manager Python hypothesis SQL dbt Claude

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. • Experience in games, particularly live service, mobile F2P, or UGC platforms such as Roblox or Fortnite. • Familiarity with dbt for analytics engineering and data modeling. • Python proficiency for deeper analysis or automation. • Familiarity with Roblox as a platform, either as a developer, analyst, or player. • Experience working with licensed IP in a gaming context. • While experience with the following tech stack is NOT expected or necessary for candidates, please see below Voldex’s tech stack in case you are interested: • We offer licences for Claude Code, Codex, and ChatGPT • Location/Level: • Remote - Canada • Travel - 2 to 3x / year (onboarding, RDC + possible team meet-ups) • Time Zone - must be willing to work EST/PST hours

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.