Team Lead Data Analytics

We are looking for a Lead Data Analyst to head our analytics team (Product, Marketing, Retention). This role balances team mentorship with hands-on analysis, focusing on driving data-driven decisions without the burden of infrastructure management.

Required Skills & Experience

• Background: 2+ years in Data Analytics with 1–2+ years in a Lead or Senior role; 
• Technical Stack: Advanced SQL (complex queries/joins) and Python (Pandas, Numpy); proficiency in Power BI or similar tools;
• Expertise: Solid understanding of A/B testing, product/marketing analytics, and attention to detail;
• Management Skills: the ability to effectively manage multiple priorities simultaneously and meet deadlines.

Nice to Have:

• Experience in iGaming with knowledge of LTV, ARPU, Churn, and Bonus Efficiency.
• Cohort analysis, retention modeling, statistics/probability, and familiarity with CRM/attribution data and data pipelines.

Key Responsibilities: 

• Team Leadership: Lead and mentor a team of analysts; manage workloads, priorities, and delivery timelines; own the analytics roadmap and backlog;
• End-to-End Analytics: Perform hands-on analysis (SQL, Python, Power BI) to identify trends, anomalies, and growth opportunities;
• Experimentation: Design, support, and evaluate A/B tests across product and marketing departments;
• Strategic Collaboration: Work with Product, Marketing, and CRM stakeholders to define success metrics and translate data into actionable business recommendations;
• Quality Control: Review team outputs (dashboards, research, reports) to ensure high standards of accuracy and insight.

Why is this role interesting?

• Real impact: you directly influence product and marketing decisions.
• Clear focus: no expectations of being a ‘jack of all trades’ — focus on analytics and leadership.
• Transparency: the opportunity to build analytical processes and develop a team in a dynamic environment.

For successful cooperation, we offer:

• The opportunity to influence and feel your impact within the company;
• Compensation that grows with your achievements;
• Paid vacation and sick leave;
• Medical insurance;
• A budget for conferences, seminars, and training courses that will help you develop as a professional;
• Flexible working hours;
• A cosy, modern office with everything you need in the historic centre of Kyiv.
  
  📌Interview stages:

Interview with recruiter -> Interview with Lead Data Analytics -> Interview with head -> Offer