[(ÁÖ)Å©·¡ÇÁÅæ][Engineering Div.] Data Analyst (4³â - 10³â) µî·ÏÀÏ : 2022-05-11 10:42 
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[Engineering Div.] Data Analyst (4³â ~ 10³â)


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ÆÒµéÀ» ¸Å·á½ÃÅ°´Â Áñ°Å¿ò°ú ¿À·¡µµ·Ï »ç¶û¹Þ´Â ÀÛÇ°À» ¸¸µé¾î ³À´Ï´Ù.
ÀÌ°ÍÀÌ ±â¼úÀ» ±â¹ÝÀ¸·Î âÀÛÀ» Áö¼ÓÇϸç Â÷º°È­µÈ °á°ú¹°À» ¸¸µé¾î ³»´Â Å©·¡ÇÁÅæÀÇ µ¿·ÂÀÔ´Ï´Ù.

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NEW STATE Mobile °ÔÀÓ¿¡ ´ëÇÑ Àü¹Ý ÀûÀÎ ºÐ¼®À» ÁøÇàÇÕ´Ï´Ù. À¯Àú ºÐ¼®, °ÔÀÓ ³» ÀçÈ­ ºÐ¼®,
°ÔÀÓ ¼¼¼Ç ºÐ¼®, UA ºÐ¼®µîÀ» ÁøÇàÇÕ´Ï´Ù. ºÐ¼®À» À§ÇÑ µ¥ÀÌÅÍ °¡°ø, º¯È¯, ÃßÃâ±îÁö ºÐ¼®°¡°¡ Á÷Á¢ ÁøÇàÇÕ´Ï´Ù.
¿øÇÏ´Â µ¿·á »óÀ¸·Î´Â ÆÀ³» ºÐÀ§±â¿¡ Àß ¾î¿ï¸®´Â ºÐÀ̾úÀ¸¸é ÁÁ°Ú½À´Ï´Ù.


¿ì¸® ÆÀ°ú ÇÔ²²ÇÒ ¹Ì¼ÇÀ» ¼Ò°³ÇÕ´Ï´Ù.
- 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


ÀÌ·± °æÇèÀ» °¡Áø ºÐ°ú ÇÔ²² ¼ºÀåÇÏ°í ½Í½À´Ï´Ù! (Çʼö¿ä°Ç)
- 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


ÀÌ·± °æÇèµéÀÌ ÀÖ´Ù¸é ÀúÈñ°¡ ã´Â ±× ºÐÀÔ´Ï´Ù! (¿ì´ë¿ä°Ç)
- 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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