Data Analyst for retention (offline)

We are looking for an experienced Data Analyst for a developing gambling-betting product targeting Asian markets. If you enjoy extracting insights from data, understand the correlation between model indicators and business utility, and can work independently, we can offer you a variety of interesting tasks.

Responsibilities:

- Setting up PowerBI dashboards (from prototyping to implementation and support, automation, and upgrades)

- Proficiently writing efficient and complex SQL queries

- Analyzing data, identifying trends and patterns, detecting errors and weaknesses

- Creating predictive models (based on both analytical tools and machine learning)

- A/B testing: design, planning, organization, measurement of results, analysis, and recommendation drafting

- Cohort analyses (by period, partners, player types, sports types, etc.)

- Handling Ad-hoc requests from internal stakeholders for hypothesis testing and decision-making

- Communication with the team and stakeholders regarding tasks

- Analyzing reasons for customer churn/reactivation by player categories, games, directions, geography, weeks, etc.

- Ability to read charts and pivot tables to find and explain causes, and provide recommendations based on these causes

- Automating metric monitoring to react faster to errors, such as provider issues (increased winnings or game unavailability)

- Identifying errors, bugs, anomalies, and deviations based on analysis and informing relevant departments

- Ability to untangle complex dependencies into simpler and more obvious parts, moving from general to specific and vice versa.

Requirements:

- Strong SQL knowledge (subqueries, window functions, query performance evaluation)

- Experience with PowerBI (High-level DAX language knowledge)

- Proficiency in Python at a middle level

- Product experience in creating ML models

- Experience working with Clickhouse

- Analytical thinking

- Mastery of mathematical statistics and probability theory

- Experience analyzing and calculating product metrics, practice-oriented

- 3+ years of experience working with data

- Communication skills and ability to work in a team

- Systematic approach to problem-solving, interest in project development

- Independence, responsibility, attentiveness, accuracy

Would be a plus:

- Experience, insight, deep understanding in product metrics analytics for gambling, betting, retention

- Experience collaborating with the retention department

- Product analytics experience

- Experience with Google Analytics

- Experience with Data Lake

- Background as a Data Engineer

- Understanding of ETL processes

We offer:

- Possibility of remote work from anywhere in the world;

- work in a friendly atmosphere and people who love their work;

- managers interested in the development of team members;

- annual bonuses, bonuses based on work results;

- 20 working days of vacation, 5 days off and sick pay.