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- Manage and provide actionable insights into a number of areas, including customer segmentation, - behavior-based modeling (propensity, churn, LTV, etc.), data strategy, and analytic approaches
- Creat e and optimize database architecture for consumption in BI tools and deliver flexible and robust - technical solutions to answer a multitude of cross functional business questions
- Integrate with and improve existing machine learning pipelines on propensity scoring and LTV projection - to granularize the understanding of user journey and customer value
- Perform complex SQL queries on data warehouse and work with other data extraction, reporting, and - analytic tools to develop executive level reporting
- Conceptualize and lead major analysis around new map releases, monetization events, and any other - additional content introduced to the game
- Maintain and support the daily ETL processes including dimensional modeling, workflow design, - and data cleansing
- Work across multiple data sources (Web, in-game, CS) to develop a complete picture of gamer behavior
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- 4+ years of experience performing marketing analytics for a digital, consumer facing company
- Knowledge of Python and Spark
- Experience with large individual customer behavioral data sets (gaming, retail, financial services) - and expertise in ETL methodology
- Deep knowledge of defining database schemas, creating table structures, and managing table linkages to - support backend BI and marketing data infrastructure
- Effective delivery of analysis results with data Visualization skills such as tableau and MS PowerPoint
- Excellent collaboration and communication skills with a proven track record of synthesizing - and sharing data insights across all levels of the organization
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- BA or BS in quantitative field (Economics, engineering, mathematics)
- Deep knowledge of defining database schemas, creating table structures, and managing table linkages to support backend BI and marketing data infrastructure
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