Senior Data Analyst
Owns end-to-end analytics for multiple mobile games at MobilityWare: designing and interpreting A/B tests, analyzing player behavior, defining KPIs and dashboards, and building AI-powered self-serve analytics tools. Core stack is advanced SQL plus Python/R, partnering with product, marketing, and game design teams.
- Compensation
- $135K–$165K / yr
- Location
- Irvine, Ca
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 1+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 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 skills for querying large, complex datasets from multiple sources
- Experience with Python or R for analysis and modeling (regression, clustering, forecasting)
- Strong grasp of experimental design and statistics
- Ability to connect analysis to business strategy and present actionable recommendations to leadership
- 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
Full description
The Senior Data Analyst will own end-to-end analytics for multiple key games, proactively identifying high-impact opportunities and translating complex or ambiguous product questions into clear, actionable strategies and experimentation plans.
In this role, you’ll partner cross-functionally with teams across Product Management, Ad Serving, Marketing, and Game Design, using data and insights to inform decision-making, evaluate performance, uncover opportunities, and help drive meaningful improvements across our games and the business.
Responsibilities:
- Design, analyze, and interpret A/B tests for game features and monetization strategies, turning results into clear recommendations that improve retention, engagement, and ARPDAU.
- Lead strategic analyses of player behavior and game systems to find growth opportunities and shape the product roadmap.
- Build AI-powered self-serve agents and workflows that let game teams answer common data questions on their own and make the analytics team more efficient.
- Define KPIs and build dashboards that track game performance across player types, game systems, and player experience.
- Write tracking specs with designers and engineers so new features can be measured from day one.
- Help prioritize data requests for supported games, balancing quick-turn asks with high-impact work.
- Mentor junior analysts and product partners on experimental design, analysis, and interpreting data, and present findings and business impact to stakeholders and leadership.
Qualifications for Position:
- 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 skills for querying and analyzing large, complex datasets from multiple sources.
- Experience with Python or R for analysis and modeling (e.g., regression, clustering, forecasting)
- Strong grasp of experimental design and statistics.
- Ability to connect analysis to business strategy and present clear, actionable recommendations to leadership.
- 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.