Data Analyst

At Mozzart, people make the difference. What sets us apart is a culture built on trust, shared knowledge, and space for ideas to grow. Operating across seven markets in Europe and Africa, we are committed to creating a workplace where people feel supported, valued, and motivated to develop. Our success is grounded in expertise, continuous learning, and a responsible approach to business. Recognised as a Top Employer and an Oscar of Quality award winner, we remain focused on what truly matters - collaboration, personal growth, and long-term impact. Beyond our teams, we stand by the communities we are part of, supporting initiatives in sports, education, healthcare, and humanitarian causes. Who you play with matters.

We are looking for a Data Analyst to work on preparing and interpreting data from our DWH and BI, with a focus on understanding customer behaviour and changes in business indicators. The role covers campaign and ROI analysis, tracking various user activity metrics, analysis of products and benefits offered to users, segmentation, and preparing business presentations with result interpretation and actionable insights that support decision-making. We are looking for a profile with strong B2C industry understanding (betting/iGaming is not required) and solid Excel skills.

 

 

 

• Analyse data from the DWH and BI (user lists, activity and monetisation metrics), and prepare data for deeper analyses.
• Analyse trends and indicator movements, with a clear explanation of causes and business implications.
• Analyse marketing campaigns (performance, ROI before and after) and the impact of promotions / incentives on user behaviour.
• Analyse products and benefits offered to users — what retains, engages and monetises better.
• Build user segmentations for CRM and marketing, in collaboration with Data Scientists.
• Prepare business presentations: interpret results and generate insights that support decision-making.

• Analytics experience in an industry with a large number of individual customers (e.g. banking, insurance, telco, e-commerce, retail); betting/iGaming experience is not required.
• Strong Excel skills (pivots, data cleaning, advanced formulas).
• Strong analytical thinking: cohorts, trends, separating symptoms from causes, and clear business communication of conclusions.
• Advantage: knowledge of SQL and Python.
• Ability to prioritize between strategic analysis and ad-hoc requests.

Your work-life balance is essential to us, so we offer you:

• 22 - 26 days of annual leave
• 38-hour working week, because we value your time
• Flexible working hours
• Hybrid working model

 

Your health and well-being is crucial to us, so we have you covered:

• Private health insurance
• Mental health and well-being initiatives
• Open feedback culture

 

We care about your personal development and professional growth, so we provided:

• Career development program
• Opportunity to take technical, language and soft skills trainings