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Open nowPosted 488 days ago

数据分析工程师

lx3qcyzne8/index52 open roles

Where
Guangzhou, Guangdong, Chinese Mainland
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Your applicationOpen now数据分析工程师lx3qcyzne8/index · Guangzhou, Guangdong, Chinese Mainland

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 488 days ago

The posting

1. 数据接入与清洗 - 协助将数据从游戏服务器日志、买量平台 API 等源头接入 OLAP 数据库。 - 编写 SQL/Python 脚本对脏数据进行清洗（例如去重、修复乱码字段、过滤异常点击事件），确保用户行为、买量等核心数据表的准确性。 2. BI 数据建模与看板搭建 - 基于 OLAP 数据库编写复杂 SQL，构建 BI 看板所需的数据模型（例如用户行为宽表、渠道买量聚合表），并优化查询性能（例如预计算聚合表）。 - 对接运营/投放团队需求，在自研 BI 后台完成看板搭建（配置筛选器、设计联动图表），以支持实时监控（例如新用户活跃、渠道 ROAS）。 3. 数据校验与维护 - 设计数据校验规则（例如检查“付费金额”的合理性、“注册 - 首充”的时间逻辑），定期输出数据质量报告。 - 维护 BI 看板的稳定性（例如排查因数据清洗遗漏导致的看板异常），并优化加载速度（例如调整聚合粒度）。

1.本科及以上学历，计算机、数学、统计、数据科学等专业优先。 2.熟练掌握标准 SQL，能够编写复杂查询（多表 JOIN、CTE、窗口函数、子查询嵌套），以适配 OLAP 数据库分析需求。 3.具备数据清洗经验（例如使用 SQL/Python 处理重复值、缺失值），能够针对游戏场景设计清洗逻辑（例如过滤机器刷量事件）。 4.有 BI 工具（例如 Tableau、Power BI、自研系统）实操经验，熟悉通过 SQL 构建看板数据模型及可视化配置。 5.中重度手游玩家（近 1 年日均游戏时长≥1 小时，至少深度体验过 1 款中重度手游），能够结合实际游戏场景进行数据分析的思路拆解。 6.学习能力强，能够快速掌握 OLAP 数据库查询优化技巧。 7.逻辑严谨，工作细致，具有数据质量意识。

加分项 1.熟悉 ClickHouse 数据库（例如物化视图、分布式查询优化）。 2.有 ETL 工具（Airflow、Kettle）使用经验，或能够编写 Python 脚本处理数据。 3.了解游戏行业数据埋点逻辑（例如事件触发规则、字段含义）。 4.有互联网/游戏行业数据工程实习经验（例如 BI 看板开发、日志清洗）。

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