Senior Data Analyst

At Mobility Ware
, you’ll help drive analytics for multiple key games, turning complex product questions into experimentation plans and data-backed strategy. This Los Angeles, CA onsite role pairs end-to-end ownership with cross-functional collaboration across Product Management, Ad Serving, Marketing, and Game Design. You’ll play a key part in improving retention
, engagement
, and ARPDAU while building analytics capabilities that make teams faster and more independent.

• Design, analyze, and interpret A/B tests for game features and monetization strategies, translating findings into clear recommendations that improve retention, engagement, and ARPDAU.
• Lead strategic analyses of player behavior and game systems to uncover growth opportunities and inform the product roadmap.
• Build AI-powered self-serve agents and workflows so game teams can answer common data questions on their own and help increase analytics efficiency.
• Define KPIs and create dashboards that track game performance across player types, game systems, and player experience.
• Write tracking specifications with designers and engineers so new features are measurable from day one.
• Help prioritize data requests for supported games, balancing quick-turn asks with higher-impact work.
• Mentor junior analysts and product partners on experimental design, analysis, and interpreting data, and present insights and business impact to stakeholders and leadership.

• BA/BS in Math, Statistics, Computer Science, Economics, or another quantitative field.
• 4+ years in product or data analytics, including 1+ years at a senior level, preferably in tech or gaming.
• Advanced SQL for querying and analyzing large, complex datasets from multiple sources.
• Experience with Python or R for analysis and modeling (including regression, clustering, and forecasting).
• A strong grasp of experimental design and statistics
  .
• Ability to connect analysis to business strategy and deliver actionable recommendations to leadership.
• A track record of proactively finding opportunities beyond assigned requests.
• Experience using AI/LLM tools to automate analytics workflows or enable self-serve insights.
• Experience mentoring junior analysts or teaching data best practices to non-technical partners.
• Experience working with data engineering, product engineering, and marketing
  .
• Nice to have: experience in the gaming industry, particularly mobile gaming.

SQL
, Python
, R

• Medical (
  100% paid option
  )
• Dental (
  100% paid
  )
• Vision (
  100% paid
  )
• Unlimited PTO/Vacation
• Life insurance (
  100% paid
  )
• 401K with competitive contribution
• Annual, all-inclusive company trip for you and a guest
• Free lunch
• Free snacks
• Free drinks
• Casual workplace with a relaxed dress code

Compensation: USD 135, per year.