Role OverviewPeopleFun Games is looking for a Lead Data Analyst to own analytics for our New Games division, which rapidly prototypes and market-tests multiple game concepts. This is an individual contributor role with influence across multiple titles and the authority to set analytical standards and priorities for the team.
You'll partner with Product, Engineering, and Marketing leadership to turn complex data into clear recommendations that shape product direction in an AI-forward environment. We launch and sunset multiple games every few weeks. You'll thrive here if you're energized by speed, comfortable making decisions with incomplete data, and able to build analytical foundations that hold up as the portfolio constantly changes.
Key Responsibilities- Support rapid decision-making: Define and uphold best practices for interpreting data so teams can reach confident conclusions quickly to iterate on each game.
- Design experiments: Partner with Product and Marketing to design A/B tests with clear hypotheses, metrics, and guardrails.
- Own dashboards and reporting: Build and maintain scalable Looker dashboards that give Product and Marketing actionable insight into core game KPIs such as retention, monetization, gameplay engagement, and user acquisition performance.
- Govern AI-assisted analysis: Define and uphold quality standards for analyses and visualizations that non-analytical teammates produce with AI tools. Review outputs for correctness and sound interpretation, without becoming a bottleneck.
- Engineer data context and skills for AI: Improve the semantic layer and question-to-source routing that our AI tools rely on, and measure their accuracy so trust in AI-generated insights stays high. Build and test reusable AI skills that help teammates speed up data work.
- Safeguard data quality: Work with engineering to validate tracking and data pipelines, and investigate and resolve discrepancies that affect reporting.
- Balance consistency with new-game needs: Keep New Games analytics aligned with established metrics and definitions from our mature titles wherever possible, and make deliberate, documented choices where new concepts need something different.
Skills Required:- 6+ years analytics experience, including time in product or games analytics
- Expert-level SQL and Looker skills
- Deep experience designing and analyzing experiments (A/B, sequential, multivariate)
- Experience with semantic layers and writing context or reusable skills for AI tools, and a practical understanding of where AI analytics tools succeed and fail
- Comfort turning ambiguous business problems into structured analytical frameworks
- Experience partnering with Data Engineering to shape scalable data infrastructure and validate data quality
- Track record of influencing product and marketing decisions with senior stakeholders
- Ability to work from our Dallas office in a hybrid arrangement. Reasonable relocation support is available for qualified candidates in the United States that are open to relocating to Dallas.
Preferred Skills:- Background in mobile or free-to-play games, with a genuine passion for games and player experience
- Familiarity with mobile advertising and user acquisition data
- BigQuery
- Python or other scripting languages
Working at Tripledot- Time Off: Flexible Discretionary Time Off policy in addition to bank holidays to relax and refresh throughout the year.
- Financial: Generous 401k match, discretionary bonuses, and competitive salaries.
- Health & Wellness: Comprehensive Medical, Dental, and Vision coverage.
- Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
- Continuous Professional Development: Propel your career with continuous opportunities for professional development.
- Family-Friendly Culture: A generous parental leave policy and a supportive, family-friendly culture.
Regular company events: Yearly on-site events that celebrate our achievements and our team spirit.
The anticipated base salary range for this role is USD $135,000-$175,000. Compensation decisions are made based on the unique qualifications, experience and circumstances of each candidate. Actual compensation is determined based on a variety of factors, including, but not limited to an individual's skills, experience, education, training, licenses and certifications (where applicable), as well as business and organizational needs. The final compensation package will be based on the specific position offered in addition to a full range of medical and other benefits.
