Senior Data Analyst
Job Summary
Job Description
Senior Data Analyst with 3+ years of experience in mobile gaming, expertise in SQL, data visualization, and player behavior analysis.
Must have:
- SQL proficiency
- Data analysis
- Mobile gaming
- Player behavior
Good to have:
- Tableau
- Excel
- A/B testing
- Cohort analysis
Perks:
- Top talent
- Game design
6 skills required
Job Details
ABOUT THE ROLE
We are currently looking for a Senior Data Analyst to join our Mahjong team! You will get the opportunity to work with some of gaming’s top talent, while lending your analytical talents to help us create top-tier mobile games. Our ideal candidate would have a strong appetite to learn, inquire and apply their knowledge to give informed proposals on the design of our game.
RESPONSIBILITIES
- Perform data analysis using SQL, dashboards and other analytical/statistical methods to inform product decisions such as AB test analysis and conclusions, game design and player behaviour investigations
- Create reports summarizing business intelligence data for review by executives and managers; collaborate with senior managers and decision makers to identify and solve a variety of problems to clarify management objectives
- Develop new metrics and player cohorts to unlock insights into player behaviour
- Work cross functionally with other teams to provide business insight for decision making
- Extract and work with complex data sets to understand game metrics
- Using multiple data sources, creates reporting and performance monitoring tools and dashboards for end users
- Works with business leaders to identify and define analytical requirements for teams and projects
- Understands and effectively communicates trends and analysis on user behaviour, player segmentation and marketing campaigns
- Continuously develop thorough analysis and conclusive insights that drive decisions and strategies for retention and monetization
QUALIFICATIONS
- 3+ years of experience performing analysis on a live product, preferably in the mobile games industry
- Bachelor degree in a business or quantitative discipline (economics, statistics)
- Excellent quantitative and analytical skills; the ability to derive conclusions from data and clearly communicate findings is critical
- Highly proficient in SQL, must be able to write queries to extract raw data and also load data into Tableau for visualization
- Skillful in manipulating data in Excel and/or Google Sheets
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