Game Analyst
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Role in brief
This Game Studio seeks a Middle/Senior Game Analyst for their GTA project. The role involves deep analysis of game metrics, A/B testing, and providing data-driven recommendations. Candidates with strong SQL, Python, and BI tool skills, and experience in product or game analytics, especially MMOs, should apply.
About the role
This role focuses on providing analytical support for a game studio's GTA project. The Game Analyst will be responsible for identifying growth opportunities, evaluating new feature releases, and maintaining dashboards for product teams. Success in this position means proactively uncovering insights and delivering actionable recommendations based on game performance data.
The core work involves monitoring and analyzing key product metrics such as daily/monthly active users, retention, lifetime value, average revenue per user, conversions, and funnels. The analyst will also handle ad-hoc data requests and present findings to the team. This requires a proactive approach to data exploration and the ability to independently formulate and test hypotheses.
The ideal candidate will have a strong background in product or game analytics, with a focus on statistical fundamentals and A/B testing. Experience with massively multiplayer online (MMO) games is beneficial. The role demands a data-driven mindset to support product decisions and optimize game performance.
Skills that matter here
- SQL: The role requires proficiency in complex SQL queries, including window functions and aggregations, to extract and manipulate game data.
- ClickHouse: Knowledge of ClickHouse is necessary for efficient data querying and analysis within the studio's data infrastructure.
- Python: Python skills will be used for data analysis, scripting, and potentially automating analytical tasks.
- BI tools: Experience with BI tools is essential for developing and maintaining dashboards that visualize key product metrics for various teams.
- A/B testing: The analyst will apply A/B testing methodologies and statistical understanding to evaluate feature changes and hypotheses.
- statistical fundamentals: Understanding of concepts like p-value, confidence intervals, and sample size is critical for sound data interpretation and recommendation.
Who this role suits
- A self-starter who thrives on independently identifying problems and opportunities within large datasets.
- Someone with a strong analytical curiosity, driven to understand 'why' behind game performance metrics.
- An individual who can clearly communicate complex data insights and defend their recommendations to a team.
- A person comfortable with the iterative process of hypothesis formulation, testing, and data-driven decision making.
From the employer
- Search for insights and growth points — independently, not just based on top-down assignments
- Work with AdHoc requests
- Analytical support for feature releases: evaluation and research
- Development and maintenance of dashboards for product teams
- Monitoring and deep analysis of key product metrics: DAU/MAU, Retention, LTV, ARPU, conversions, funnels
- Formulation of data-driven recommendations and their defense before the team
- 2.5+ years of experience in product or game analytics
- Proficient in SQL — complex queries, window functions, aggregations, optimization, knowledge of ClickHouse and Python
- Experience with A/B testing and understanding of statistical fundamentals (p-value, confidence intervals, sample size)
- Ability to independently formulate hypotheses and test them with data
- Experience with BI tools
- Understanding of funnels and metrics of mobile products
Questions about this role
What is the remote work policy for this role?
This is a fully remote position, but candidates must be located within a European time zone. Candidates from Ukraine are not being considered for this role.
What level of seniority is expected for this position?
This role is open to candidates at both the Middle and Senior levels of experience.
What technical skills are most important for this role?
Key technical skills include strong SQL proficiency with complex queries, knowledge of ClickHouse and Python, and experience with various BI tools.
✓ Apply here in a minute. Your application and answers go straight to the hiring person, so you never land in a spam pile.