2 дня назад
Data Analyst (iGaming / Online Poker)
Вакансия из Telegram канала - Мэтч & Сопровод
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Описание вакансии
TL;DR
Data Analyst (iGaming / Online Poker) (SQL/Tableau/Power BI): Driving growth and optimizing performance across the player lifecycle with an accent on large-scale data analysis, dashboard design, and stakeholder support. Focus on writing and optimizing SQL queries, building dashboards for non-technical users, and analyzing segmentation, churn, LTV, and experiments.
📊 Data Analyst (iGaming / Online Poker) — Remote, Full-time
Fast-growing iGaming startup (online Poker + other verticals) is looking for a Data Analyst to drive growth and optimise performance across the player lifecycle.
Must-have:
• Fluent English & Russian
• 3+ years in data analysis (iGaming / online Poker preferred)
• Confident SQL — writing & optimising queries on large datasets
• Tableau / Power BI (dashboard design for non-technical users)
• Ability to support multiple stakeholders (commercial, product, marketing)
• Strong analytical rigour & communication skills
Nice-to-have:
▪️ Python or R (segmentation, churn/LTV modelling, experiment analysis)
▪️ Knowledge of online Poker / iGaming economics (rake, tournament formats)
▪️ Casino or Sportsbook data experience (RTP, hold, betting margin)
▪️ GA4, Appsflyer/Adjust, Braze, Optimove, Customerio, affiliate tracking
▪️ dbt, Git or similar analytics engineering tooling
💰 Payment in USDT
🌍 Remote, full-time
📩 Contact:
Fast-growing iGaming startup (online Poker + other verticals) is looking for a Data Analyst to drive growth and optimise performance across the player lifecycle.
Must-have:
• Fluent English & Russian
• 3+ years in data analysis (iGaming / online Poker preferred)
• Confident SQL — writing & optimising queries on large datasets
• Tableau / Power BI (dashboard design for non-technical users)
• Ability to support multiple stakeholders (commercial, product, marketing)
• Strong analytical rigour & communication skills
Nice-to-have:
▪️ Python or R (segmentation, churn/LTV modelling, experiment analysis)
▪️ Knowledge of online Poker / iGaming economics (rake, tournament formats)
▪️ Casino or Sportsbook data experience (RTP, hold, betting margin)
▪️ GA4, Appsflyer/Adjust, Braze, Optimove, Customerio, affiliate tracking
▪️ dbt, Git or similar analytics engineering tooling
💰 Payment in USDT
🌍 Remote, full-time
📩 Contact:
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