-
우리 팀(프로젝트)을 소개합니다.
NEW STATE Mobile 게임에 대한 전반 적인 분석을 진행합니다. 유저 분석, 게임 내 재화 분석,
게임 세션 분석, UA 분석등을 진행합니다. 분석을 위한 데이터 가공, 변환, 추출까지 분석가가 직접 진행합니다.
원하는 동료 상으로는 팀내 분위기에 잘 어울리는 분이었으면 좋겠습니다.
우리 팀과 함께할 미션을 소개합니다.
- 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
이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건)
- 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
이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건)
- 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
- 게임업계 및 PUBG에 대한 관심과 이해
- 데이터 분석에 대한 관심과 이해
|
