
Analytics Lead
5 days ago
We are a leader in the game development industry, and we're looking for a talented Senior Data Analyst to join our team. As a key member of our analytics team, you will play a critical role in driving business decisions and innovation through data-driven insights.
This is an on-site role in our Levent office, where you will work closely with our production teams to ensure seamless data integration into production pipelines. Your expertise will be instrumental in analyzing complex data sets, identifying trends, and optimizing in-game features to improve player experience and product performance.
Key Responsibilities
- Transform raw in-game data into actionable insights that inform product and business strategies.
- Analyze and interpret large datasets to identify trends and patterns, driving improvements in player experience and product performance.
- Design and execute A/B tests to optimize in-game features and player monetization.
- Develop and communicate reports, analyses, and dashboards that provide valuable insights for cross-functional teams.
- Collaborate with game development teams to ensure data integration into production pipelines.
- Communicate effectively with multiple stakeholders, supporting day-to-day needs and ad-hoc requests.
- Contribute to strategic decision-making as a vocal and active participant in our team.
Required Skills and Qualifications
- At least 2 years of hands-on experience in data analytics, preferably in digital product companies.
- Experience working in the gaming industry and understanding mobile gaming market dynamics.
- A bachelor's degree or higher in a STEM field or equivalent experience in data analytics.
- Excellent knowledge of statistics and proficiency in SQL and Python programming languages.
- Ability to create reproducible analysis and document findings.
- Excellent written and verbal communication skills in English.
- Proven experience working with large datasets and transforming raw data into actionable insights.
- Ability to distinguish between correlation and causation, effectively handling biases.
- Exceptional attention to detail with consistent data quality assurance.
- A collaborative approach and willingness to work closely with production teams.
- A proactive and adaptable mindset with the ability to quickly learn new tools.
Interview Process
- Application Submission: Please submit your CV, LinkedIn profile, or a brief introduction about yourself.
- People & Culture Interview: Meet with our People & Culture team to discuss your background and goals.
- Case Study: Complete a practical task related to the role.
- Technical Interview: Discuss the case study and meet the lead of the relevant department.
- Final Meeting: Have a face-to-face meeting with our founders to discuss further details.
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