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Game Data Analyst

quik hire staffing Hong Kong Sar
Remote
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AI Summary

Remote full-time role focused on analyzing player behavior, retention, and monetization to drive game design and live operations decisions. Responsibilities include building dashboards, running A/B tests, and developing player segmentation models using SQL and BI tools. Requires 2+ years of experience in game or product analytics with strong SQL skills and knowledge of game KPIs.

Key Highlights
Fully remote position with flexible work hours
Competitive salary range of $75,000 – $115,000 USD plus benefits
Focus on turning player behavior data into actionable insights for design and live ops
Key Responsibilities
Analyse player behaviour, retention, monetisation, and engagement metrics
Build dashboards and reports for live ops, design, and product teams
Run A/B tests on features, balance changes, and live ops events
Develop player segmentation and lifecycle analyses
Partner with designers and producers on analytics-driven decisions
Identify data quality issues and partner with engineering on instrumentation
Technical Skills Required
SQL BI Tools Python
Benefits & Perks
Fully remote, flexible work hours
Performance-based bonus structure
Annual learning & development stipend
Health and wellness benefits

Job Description


  • Role: Game Data Analyst
  • Location: Remote
  • Employment Type: Full-time


Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $75,000 – $115,000 (USD equivalent), plus benefits.



Role Overview

We are hiring a Game Data Analyst to turn player behaviour data into the insights that drive design and live ops. The role combines deep SQL with game design fluency — answering questions designers and producers actually care about.


Key Responsibilities

- Analyse player behaviour, retention, monetisation, and engagement metrics

- Build dashboards and reports for live ops, design, and product teams

- Run A/B tests on features, balance changes, and live ops events

- Develop player segmentation and lifecycle analyses

- Partner with designers and producers on analytics-driven decisions

- Identify data quality issues and partner with engineering on instrumentation


Required Skills and Qualifications

- 2+ years in game analytics, product analytics, or data analysis

- Strong SQL skills and experience with data warehouses (BigQuery, Snowflake, Redshift)

- Hands-on with BI tools (Looker, Tableau, Power BI) and game analytics platforms

- Working knowledge of Python or R for analysis

- Strong understanding of game KPIs (DAU, retention, ARPDAU, conversion)

- Excellent written communication and ability to translate data into recommendations


What You'll Bring

- Curiosity to dig into systems and turn findings into shipped improvements

- Strong written communication and ability to explain technical decisions

- A test-and-learn mindset; you ship fast, measure, and iterate

- Comfort working asynchronously across time zones


What We Offer

- Fully remote, flexible work hours

- Performance-based bonus structure

- Annual learning & development stipend

- Health and wellness benefits (varies by location)

- Opportunity to work on high-scale, real-world impact projects


Equal Opportunity Statement

This is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.


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