Middle Data Analyst
Summary
A mid-level Data Analyst joins a product analytics team (likely iGaming, given deposits, VIP and player-behavior focus) to build Tableau dashboards, analyze player behavior and KPIs like registrations, deposits, retention and LTV, and support experiments using SQL, Python, and statistical methods. Fully remote — work from anywhere in the world.
We are looking for a proactive and motivated Data Analyst who will strengthen the analytics team on our project. With us, you will find modern technology and the opportunity to influence the product, the help of qualified specialists, and, of course, the possibility of development.
What we expect from you during our collaboration:
Create and maintain reports and dashboards in Tableau to monitor daily, weekly, and monthly performance
Collect, analyze, and interpret data related to product usage, player behavior, and market performance
Provide actionable insights to improve key product KPIs such as registrations, deposits, retention, and lifetime value (LTV)
Collaborate with Product, CRM, marketing, and VIP teams to evaluate the effectiveness of promotions, campaigns, and product features
Identify product bottlenecks and recommend improvements to enhance player experience
Support tests and product experiments, and analyze their impact
This role is a great fit if you:
2+ years of experience as a Data Analyst in a product environment
Strong analytical mindset with the ability to identify patterns, dependencies, and propose actionable solutions
Strong knowledge of SQL and relational database (PostgresSQL/BigQuery/AWS or similar)
Strong Tableau Desktop and Tableau Cloud/Server experience
Python for data analyst (NumPy, Pandas, Scikit learn, Matplotlib)
Understand marketing and product metrics
Deep knowledge of cohort, factor, and cluster analysis
Basic Data engineering and Data quality understanding
Knowledge of the basics of statistics, probability theory
What we offer:
24 days of vacation + days off
Remote work — choose any corner of the world to “be with us”
Support for your learning and professional development through external courses and educational activities (conferences, webinars, etc.)
Benefit Café: reimbursement for sports activities, English language courses, and mental health support
Health insurance
Financial support during difficult life situations—we understand that this is an extremely challenging time for every Ukrainian, so we’re here for you not only on the “good days” but also on the “tough ones.”
Employee referral program. The opportunity to directly influence business development and hiring strategy at a rapidly growing international company.
Hiring process: Recruiter interview → Interview with Head of Analytics → Job Offer.
💌 It takes 7 days to review your resume.
If you haven’t heard back from a recruiter, it means your experience doesn’t currently match the requirements for this role—we’d be happy to stay in touch about other job openings!