Senior Data Analyst (Gaming)

Bring It On creates games where players compete and earn - a model in which a large portion of our players actively earn through gameplay. How many studios can truly claim that? We are building a sustainable ecosystem where player skill and time translate into real-world value.

We operate with a high-trust, flat structure. Here, you won’t just generate reports; you’ll be a primary decision-maker with the autonomy you deserve and the trust you’ve been looking for. We offer a fully remote, flexible environment where individual ownership is our guiding principle.

You’ll join a team of seasoned, positive, and deeply engaged professionals. We move fast, value professional excellence, and expect you to bring that same drive to the team every day.

As our Senior Data Analyst, you will dive into complex datasets representing millions of game plays to solve strategic business questions. You will be the bridge between raw data and product evolution.

Responsibilities:

• Extract Insights: Analyze large datasets to address operational questions and provide actionable recommendations for game economies and feature development.
• Marketing Optimization: Work closely with the marketing team to analyze spend efficiency and improve player acquisition strategies.
• Self-Serve Analytics: Build and maintain data pipelines, KPI dashboards, and AI-powered self-serve analysis, and own the metric definitions and checks that keep the answers right.
• Live-Ops Collaboration: Coordinate across departments to design, execute, and measure the impact of live-ops and promotions.
• Drive Strategy: Frequently present findings to the team to guide high-level decision-making.
• Future-Proofing: Bring ML/AI techniques into the product where they earn their place, such as player segmentation, churn and LTV prediction, and fraud detection.

• 4+ years of analytical experience, including 2+ years in the mobile gaming or iGaming industry.
• High-Level SQL: Expert-level capability in querying large, complex, and sometimes messy datasets.
• BI Mastery: Professional experience with BI and analytics tools like Tableau, Looker, Power BI, Hex, Mixpanel, or AppsFlyer (Must-have).
• Data Modeling: Experience building SQL-based data models and pipelines (e.g., Dataform or dbt), using version control (git).
• Statistics & Experimentation: A solid grounding in statistics: experiment design, A/B test analysis, and knowing when a result isn’t real.
• AI-Assisted, Human-Verified: You use AI tools to work faster and verify their output before you trust it. The tool writes the query; you own the number.
• Communication: Excellent English (written and spoken). You can explain complex data trends to stakeholders in any department.
• Quantitative Foundation: BA/B.Sc. in Statistics, Math, Engineering, Economics, or a related field, or equivalent practical experience.
• Data Intuition: A passion for understanding social gaming behavior and the ability to derive clear narratives from the complex, evolving datasets of a high-growth product.
  

• Programming Skills: Experience with Python or R for advanced statistical modeling.
• Agility: Previous experience in a start-up or scale-up environment.
  

• Competitive Salary: An attractive package that respects your experience and talent.
• Meaningful Equity: Stock options that ensure you have a real stake in our collective success.
• True Remote Work: Fully remote and worldwide. No office, no commute. Work from wherever in the world you are most productive.
• Home Office Budget: A dedicated budget to help you craft a professional and comfortable workspace.
• No-Fuss Vacation: Take the time you need, when you need it.
• Inclusive Environment: We are an equal-opportunity employer and value diversity. We care about your craft, not your background.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like you, we’d love to hear from you. Apply now!