Senior Data Analyst

Responsiblties:

• Apply industry knowledge to come up with analytical approaches to analyze data and make project and studio improvements based on statistical methods.
• Extract complex data sets to understand game metrics in order to inform hypotheses, and create analytical experiments with clear and measurable success goals.
• 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.
• Lead complex analytics projects applying mathematical approaches such as Multivariable Regression, Clustering, Time Series Forecast, etc.
• Identify and propose improvements on analytics pipeline and operational process.
• Work cross functionally with other teams to provide business insight for decision making.

Qualification:

• 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 forecasting and manipulating data in Excel and/or Google Sheets.
• Master degree in mathematics, computer science, business or related fields strongly preferred.

Key Skills:

• Data Analysis and Exploration. 
• Statistical Analysis. 
• Programming. 
• Database Management. 
• Creating Dashboards and Reports. 
• Data Visualization. .
• Machine Learning.