Website Scopely
Apply for the Data Analyst position on the Bingo Bash team at Scopely (Bangalore). Lead F2P mobile gaming analytics, execute A/B testing, and write complex SQL/Python queries.
About the Company: Scopely
Scopely is a global interactive entertainment titan and a leading force in the mobile gaming ecosystem, ranking as the #1 mobile games company in the United States and #2 worldwide. With over $10 billion in lifetime revenue, Scopely develops, publishes, and live-operates massive cultural phenomena across mobile, PC, and console platforms—including multi-billion-dollar blockbusters like MONOPOLY GO!, Pokémon GO, Stumble Guys, and Star Trek™ Fleet Command.
This analytics position is embedded directly within the Bingo Bash division in Bangalore, Karnataka, India. Operating on a modern hybrid work framework, the Bingo Bash squad is responsible for the single highest-grossing video game produced out of India to date. As a core live-ops engine, the team continuously shapes complex digital content, optimises player retention loops, and drives monetisation strategies for millions of daily active players globally.
About the Role: Data Analyst (Mobile Gaming Analytics)
Are you a quantitative problem solver who is passionate about large-scale telemetry data, predictive player behaviour, and free-to-play (F2P) economics? Scopely is seeking a data-driven Data Analyst to join the high-velocity Bingo Bash product team in Bangalore. This hybrid role is designed for professionals with 2 or more years of experience in statistical, financial, or data analytics who excel at transforming raw event telemetry into actionable live-ops growth strategies.
As a Data Analyst, you will act as the core engine of operational intelligence for game design, product, and marketing squads. Your daily focus will transcend baseline dashboard maintenance; you will own the full experimentation lifecycle, designing and deploying simultaneous A/B testing frameworks to evaluate fresh game features, onboarding funnels, and dynamic player rewards. By writing complex SQL and Python scripts, engineering telemetry event schemas, and building predictive visualisation layers, you will uncover deep behavioural trends that directly maximise user acquisition, day-to-day player engagement, and global monetisation.
Key Responsibilities & Live-Ops Analytics Workflows
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Actionable Growth Discovery: Partner closely with game designers, product managers, and marketing teams to deliver data-backed insights aimed at accelerating user acquisition, session engagement, and monetisation.
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Telemetry Event Architecture: Design, implement, and validate new telemetry hooks, tracking schemas, and custom queries for upcoming game features, economy adjustments, and targeted player events.
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Advanced Statistical Experimentation: Design, operate, and interpret multiple simultaneous A/B tests and multivariate experiments to isolate feature impacts and de-risk deployment loops.
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Exploratory & Ad-Hoc Analytics: Conduct deep exploratory data analyses to answer critical business questions, drafting clear, reactive data briefs for leadership review.
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Trend & Competitor Intelligence: Proactively monitor high-volume player streams to identify operational bottlenecks, analyse churn indicators, and deliver comprehensive market competitor reviews.
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Business Intelligence Reporting: Build, maintain, and scale interactive performance tracking reports using enterprise tools like Tableau or Looker to democratize access to key game metrics.
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Workflow Optimisation via AI: Leverage and integrate modern AI-enabled tools to accelerate raw insight generation, streamline code optimisation, and support automated reporting pipelines.
Candidate Prerequisites & Technical Skill Stack
Successful candidates must combine robust mathematical training with a passion for gaming loops and advanced querying, scripting, and data modelling proficiencies.
Required Experience & Educational Baseline:
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Academic Credentials: B.Tech or B.S. degree in Computer Science, Statistics, Mathematics, Physics, or an equivalent heavily quantitative or engineering discipline.
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Professional Tenure: 2+ years of experience working as a data analyst, financial analyst, or data scientist running quantitative and statistical data analysis.
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Domain Competency: Proven history in creating, tracking, and analysing multiple simultaneous data-driven A/B tests.
Core Technical Stack Proficiencies:
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Database Querying & Scripting: Advanced proficiency in writing complex SQL and Python queries across highly distributed, relational, and non-relational data warehouses.
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BI Visualization Engines: Extensive practical experience designing reports, executive scorecards, and performance dashboards using Tableau, Looker, or closely equivalent environments.
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Data Literacy: Strong analytical skills paired with a deep understanding of performance marketing analytics, data tracking variables, and forecasting methods.
Preferred Domain Pluses & Bonus Points:
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Gaming Background: 2+ years of dedicated analytical experience within the mobile gaming or F2P app industry.
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Advanced Statistics: Master’s degree or higher in a quantitative discipline, featuring a heavy statistical background.
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Modeling Packages: Practical familiarity using specialized statistical frameworks like R, SAS, SPSS, or Matlab.
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Funnel Optimization: Hands-on experience executing onboarding and early-stage player funnel lifecycle analysis.
Core Position Specifications
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Position Title: Data Analyst (Bingo Bash)
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Hiring Organisation: Scopely
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Corporate Work Location: Bangalore, Karnataka, India
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Work Arrangement: Hybrid (On-Site Collaborative Sessions + Remote Flexibility)
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Experience Allotment: 2+ Years of professional quantitative analysis experience
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Employment Framework: Full-Time, Permanent Corporate Track
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Functional Focus: A/B Testing, Gameplay Telemetry, Monetisation Modelling, and Funnel Optimisation
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Industry Placement: Video Games / Interactive Entertainment / Mobile App Tech
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Functional Department: Game Analytics, Business Intelligence & Data Science
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