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Senior Data Analyst - Game Analytics & Telemetry

remotehunter • United State
Remote
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AI Summary

Lead data-driven game design by converting player telemetry into actionable insights for game systems, monetization, and business strategy. Own end-to-end data lifecycle from instrumentation to executive reporting while building robust analytics infrastructure. Requires 5+ years analytics experience with SQL, Python/R/Java, ETL pipelines, and statistical modeling.

Key Highlights
Cross-functional bridge between engineering, telemetry analytics, and executive strategy
End-to-end ownership of data lifecycle from game event instrumentation to executive reporting
Expert SQL proficiency with advanced querying, schema design, and performance tuning
Build predictive analytics models for player engagement, retention, and churn
Key Responsibilities
Take complete operational ownership of the end-to-end data lifecycle, managing everything from initial game event instrumentation and telemetry collection to final executive-level presentation
Partner closely with multidisciplinary game departments and senior studio leadership to architect predictive data collection protocols and long-term analysis strategies
Define, model, and track core player performance indicators (KPIs) specifically targeting player engagement, long-term retention curves, and churn predictive modeling and build the data systems to capture them
Architect and maintain robust database schemas, continuously optimizing query performance, execution plans, and overall data warehouse health
Develop, scale, and maintain performant ETL/ELT data pipelines and the underlying infrastructure required to handle high-velocity telemetry streams
Automate operational reporting workflows and build intuitive, interactive visualization dashboards tailored precisely for diverse technical and creative game teams
Play and engage with the studio's game titles directly to gain deep contextual familiarity, blending personal gameplay experience with quantitative analysis to inform design recommendations
Technical Skills Required
SQL Python ETL/ELT pipelines
Benefits & Perks
100% employer-covered Medical, Dental, and Vision insurance
Fully supported flexible work arrangements (in-house studio spaces, hybrid schedules, or 100% remote setups across North America)
Generous Time Off Policy

Job Description


1. About Our Client:

The organization operates at the vibrant forefront of the game development industry, focusing exclusively on creating deeply immersive, high-fidelity video games. The studio directly addresses the core industry challenge of producing compelling, player-centric titles by fostering an intensely collaborative ecosystem that empowers creative freedom and decentralizes artistic ownership among its development teams. Built for modern creators, the enterprise fully supports highly flexible work arrangements—including in-studio presence, dynamic hybrid setups, and fully remote options tailored for top-tier talent distributed across North America.


2. About the Opportunity:

The Senior Data Analyst will step into a highly critical, cross-functional role designed to serve as the structural bridge between core software engineering, telemetry analytics, and executive studio strategy. This position is responsible for driving data-informed game design, converting complex player behavioral telemetry into actionable insights that directly influence real-time game systems, monetization models, and long-term business decisions. Serving as the primary steward of the studio's data ecosystem, this role ensures that data acquisition infrastructure and advanced analytical modeling align perfectly with overarching game launch milestones and organizational growth goals.


3. Responsibilities:

• Take complete operational ownership of the end-to-end data lifecycle, managing everything from initial game event instrumentation and telemetry collection to final executive-level presentation

• Partner closely with multidisciplinary game departments and senior studio leadership to architect predictive data collection protocols and long-term analysis strategies

• Define, model, and track core player performance indicators (KPIs)—specifically targeting player engagement, long-term retention curves, and churn predictive modeling—and build the data systems to capture them

• Architect and maintain robust database schemas, continuously optimizing query performance, execution plans, and overall data warehouse health

• Develop, scale, and maintain performant ETL/ELT data pipelines and the underlying infrastructure required to handle high-velocity telemetry streams

• Automate operational reporting workflows and build intuitive, interactive visualization dashboards tailored precisely for diverse technical and creative game teams

• Play and engage with the studio's game titles directly to gain deep contextual familiarity, blending personal gameplay experience with quantitative analysis to inform design recommendations


4. Requirements:

• Minimum of five (5) years of progressive, professional experience in data analysis, analytics engineering, or business intelligence (preferably within the gaming, mobile apps, or high-transaction consumer entertainment sectors)

• Expert-level proficiency in SQL, demonstrating advanced capabilities in complex querying, scalable schema design, indexed views, and query execution performance tuning

• Strong programming skills in languages critical to backend automation and quantitative analysis, with specialized mastery in Python, R, or Java

• Proven history designing, building, orchestrating, and troubleshooting complex ETL processes across modern data warehouses

• Solid mathematical foundations and a deep understanding of statistical modeling techniques, including regression analysis, A/B testing, hypothesis validation, and predictive forecasting algorithms

• Exceptional communication and narrative skills, with a proven ability to translate complex technical metrics, statistical margins, and data anomalies clearly to creative directors and non-technical stakeholders

• Highly self-motivated, mission-driven mindset characterized by the ability to manage competing project priorities independently across cross-functional studio teams


5. Pay Range and Compensation Package:

• Target baseline salary framework: $100,000 to $140,000 USD annually

• Final base salary placement within this competitive tier is calibrated dynamically based upon the candidate's core analytics depth, engineering capabilities, geographic location, and specialized database proficiencies

• Total rewards portfolio features a highly lucrative baseline pay structure paired with an expansive enterprise-level benefits package and career trajectory programs


6. Benefits & Perks:

• Comprehensive healthcare security featuring 100% employer-covered Medical, Dental, and Vision insurance plans for employees and their immediate families

• Secure future financial planning backed by a corporate Retirement Savings Plan complete with competitive matching contributions

• Dedicated Career Improvement Plans offering structured corporate resources, training, and financial backing for continuous professional development

• Supreme geographic flexibility through fully supported flexible work arrangements (in-house studio spaces, hybrid schedules, or 100% remote setups across North America)

• A generous, refreshing Time Off Policy promoting true work-life balance and creative recharge

• Active community culture supported by vibrant company events held regularly across both in-person and virtual spaces

• Premium on-site amenities, including a fully stocked kitchen, curated snacks, and company-sponsored local food truck visits


7. Equal Opportunity Statement:

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.


Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.


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