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7 months ago
Grade
Middle
Experience
from 2 years
Work format
Remote
Employment
Part-time
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
Data Analyst (part time job)
📍Work remotely(except Russia)
-Player Analysis: Analyzing behavior, payment patterns, and engagement to improve retention, also markting metricst and overall product metrics; -Performance Tracking: Monitoring KPIs (Active Users, ARPU, Churn) and building SQL-based analytical models, as described by Dataworks; -Data Visualization: Creating reports and dashboards to visualize player behavior and campaign performance; -Campaign/Bonus Optimization: Monitoring marketing campaigns and detecting bonus abuse or fraud, highlights a recent vacancy; -A/B Testing: Supporting product teams with data-driven insights for new game features or marketing strategies.
-Technical Skills: Proficient in SQL (essential), and BI tools (Tableau, Power BI); -Experience: Proven experience in data analysis, typically 2+ years with experience in iGaming; -Analytical Skills: Ability to analyse large, complex datasets to identify trends; -Domain Knowledge: Understanding of gaming systems, sportsbook mechanics, or online casino products. -Communication skills: knowledge of Russian and English from B2
Data Analyst (part time job)
📍Work remotely(except Russia)
Requirements: -Technical Skills: Proficient in SQL (essential), and BI tools (Tableau, Power BI); -Experience: Proven experience in data analysis, typically 2+ years with experience in iGaming; -Analytical Skills: Ability to analyse large, complex datasets to identify trends; -Domain Knowledge: Understanding of gaming systems, sportsbook mechanics, or online casino products. -Communication skills: knowledge of Russian and English from B2
Responsibilities: -Player Analysis: Analyzing behavior, payment patterns, and engagement to improve retention, also markting metricst and overall product metrics; -Performance Tracking: Monitoring KPIs (Active Users, ARPU, Churn) and building SQL-based analytical models, as described by Dataworks; -Data Visualization: Creating reports and dashboards to visualize player behavior and campaign performance; -Campaign/Bonus Optimization: Monitoring marketing campaigns and detecting bonus abuse or fraud, highlights a recent vacancy; -A/B Testing: Supporting product teams with data-driven insights for new game features or marketing strategies.
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