Middle Data Analyst

What to expect of your role:

We’re looking for an experienced Middle Data Analyst to join our analytics team in

the iGaming industry. You’ll take ownership of complex analytical tasks, drive data-

informed decisions across multiple business functions, and serve as a go-to expert

for data quality, player behaviour analytics, and reporting. If you have a solid

background in gambling analytics and love working with large datasets, we want to
hear from you.
What you need to succeed in this role:
Technical skills:

- 3–4 years of hands-on experience as a Data Analyst in iGaming or online gambling — mandatory;

- Advanced SQL in Amazon Redshift — window functions, CTEs, subqueries, query optimisation, and working with large-scale datasets;

- Experience with BI tools (Power BI, Tableau, Looker, or similar) - working with dashboards and using them to extract insights;

- Proficiency in Excel: advanced pivot tables, vlookups and executive-level reporting;

- Strong command of iGaming KPIs: GGR, NGR, player LTV, churn rate, bonus abuse metrics, deposit/withdrawal volumes;

- Solid understanding of A/B test analysis — interpreting p-values, confidence intervals, and effect sizes; experience evaluating pre-test group balance and flagging randomisation issues;

- Practical use of AI tools in analytical workflows: LLMs for insight generation, AI-assisted querying, prompt engineering for data tasks;

- Strong data quality mindset — ability to sense-check numbers, investigate inconsistencies, and ensure analytical accuracy; Clear English communication, written and verbal (upper-intermediate+).

Nice to have:

- Familiarity with Amazon QuickSight: navigating dashboards, using built-in features (Q / flow), filters, and calculated fields;

- Exposure to EasyMorph or similar ETL/data preparation platforms.

Soft Skills:

- High ownership and autonomy — you manage your tasks end-to-end without hand-holding;

- Structured analytical thinking — you break down ambiguous business questions into clear data problems;

- Proactive communication — flagging anomalies, pushing back on flawed assumptions, and keeping stakeholders aligned;

- Ability to manage multiple priorities and deliver under deadlines in a fast-paced environment;

- Collaborative mindset — comfortable working across teams and supporting junior colleagues.

You will be expected to:

- Design and own end-to-end analytical workflows in Amazon Redshift — complex multi-step SQL: window functions, CTEs, large-scale joins, and performance tuning;

- Conduct deep-dive player behaviour analyses: segmentation, RFM modelling, cohort analysis, LTV forecasting, and churn prediction;

- Analyse A/B test results — interpret statistical significance, evaluate group comparability, identify confounding factors, and deliver clear recommendations to stakeholders;

- Track and analyse iGaming KPIs — GGR, NGR, bonus abuse index, deposit/withdrawal trends, player LTV, and churn — proactively flagging anomalies;

- Integrate and actively apply AI tools into day-to-day analytical work: prompt engineering, AI-assisted SQL generation, automated insight summarisation;

- Translate complex data findings into clear, actionable outputs for non- technical stakeholders via Excel reports and presentations;

- Learn and work in EasyMorph for reporting and data preparation tasks as part of team onboarding.

About our corporate culture:

As an international team, we are motivated by the freedom to do our best work. Our employees are autonomous and responsible for their projects, taking the initiative when necessary, not giving up on their opinions, and speaking freely. We invest in the potential of each person, confident that together, our skills will shape the company’s future success.
Reasons to join us:

- Our positive workplace atmosphere creates a culture of collaboration and support, making it a place you'll love working in;

- We offer competitive compensation and regular career development reviews to