Position: Data Analyst
Company: Gamicorp
Experience required: 3y

A large product company in the gambling and betting industry, with over 4 years of presence in the market, is seeking a talented Data Analyst.

Responsibilities:

- Setting up dashboards in various visualization systems (Power BI, Google Analytics, etc.).
- Analyzing data, identifying trends and patterns, detecting errors and weaknesses.
- Implementing solutions based on analytics and data at different stages of product development (e.g., predicting LTV, churn, future purchases; user segmentation).
- Full cycle of dashboard creation (from prototyping to implementation and support, automation, and upgrades) in Power BI.
- Cohort analysis from scratch.
- Calculating customer metrics such as LTV, ARPPU/ARPU.
- Analyzing data by customers and/or categories, regions, games, sports, etc.
- Analyzing results of A/B tests using T-Test, Bootstrap.
- Generating regular reports in Excel (conversion rates, profit calculations, etc.).
- Handling Ad-hoc requests from internal stakeholders for hypothesis testing and decision-making.
- Communicating with the team and stakeholders regarding tasks.
- Analyzing reasons for increases and decreases in deposit amounts, customer winnings, and gaming/betting provider errors.
- Providing explanations for downturns.
- Proactively forecasting company turnovers based on sports and other significant events in the geographic region.
- Analyzing increases/decreases in turnovers for specific providers and games. Explaining the reasons and providing recommendations based on these factors to prevent downturns and foster growth. 
- Reacting to gaming provider errors faster (e.g., increased winnings or game unavailability).
- Identifying gaming provider errors through analysis and informing relevant departments.
- Analyzing website heatmaps and providing recommendations.

Requirements:
- Proficiency in mathematical statistics and probability theory.
- Experience in analyzing and calculating product metrics with a practical focus.
- At least 3 years of experience working with data.
- Communication skills and ability to work in a team.
- Analytical thinking, systematic approach to problem-solving, and interest in project development.
- Independence, attentiveness, and accuracy.
- Strong knowledge of SQL.
- Experience working with Clickhouse.
- Experience working with Power BI.
- Proficiency in Python at the Middle level.
- Proficient in Excel (pivot tables, conditional tables, charts, functions, macros).

Additional advantages:
- Knowledge of Machine learning and discrete optimization algorithms.
- Experience working with HotJar.
- Experience in the gambling/betting industry.
- Experience in product analytics.

We offer:
- Remote work from anywhere in the world.
- Work in a company without bureaucracy, where decisions are made quickly.
- Friendly atmosphere among people who love their work.
- Qualified department leaders interested in the team members' development.
- Performance reviews every 6 months of work.
- Annual bonuses and rewards based on performance.
- 20 working days of vacation, 5 days off, and payment during sick leave.
- Paid overtime, if applicable.