Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Assume responsibility for intricate analytical responsibilities across various business functions within the iGaming sector.

• Create and manage comprehensive analytical processes in Amazon Redshift utilizing complex multi-step SQL, extensive joins, and performance optimization techniques.

• Perform player behavior analyses, which include segmentation, RFM modeling, cohort analysis, LTV forecasting, and churn prediction.

• Evaluate A/B test outcomes, interpret statistical significance, assess group comparability, identify confounding variables, and offer recommendations.

• Monitor and analyze iGaming KPIs, such as GGR, NGR, bonus abuse index, deposit/withdrawal trends, player LTV, and churn rates.

• Proactively identify data anomalies and examine inconsistencies.

• Incorporate and utilize AI tools in daily analytical tasks, including prompt engineering, AI-assisted SQL creation, and automated insight summarization.

• Convert complex data insights into actionable recommendations for non-technical stakeholders via Excel reports and presentations.

• Acquire knowledge and utilize EasyMorph for reporting and data preparation during team onboarding.

• Act as a primary resource for data quality, player behavior analytics, and reporting.

⛳️ Requirements

• 3–4 years of practical experience as a Data Analyst in the iGaming or online gambling industry — essential.

• Advanced SQL skills in Amazon Redshift, including window functions, CTEs, subqueries, query optimization, and handling large-scale datasets.

• Familiarity with BI tools such as Power BI, Tableau, Looker, or equivalent.

• Proficient in Excel, particularly in advanced pivot tables, VLOOKUPs, and executive-level reporting.

• Strong understanding of iGaming KPIs: GGR, NGR, player LTV, churn rate, bonus abuse metrics, and deposit/withdrawal volumes.

• Solid grasp of A/B test analysis, including p-values, confidence intervals, effect sizes, pre-test group balance, and randomization issues.

• Practical experience using AI tools in analytical processes, such as LLMs, AI-assisted querying, and prompt engineering.

• Strong focus on data quality and capability to investigate inconsistencies.

• Proficient in English communication, both written and spoken, at an upper-intermediate level or higher.

• Familiarity with Amazon QuickSight is a plus.

• Exposure to EasyMorph or similar ETL/data preparation tools is a bonus.

• High sense of ownership and autonomy.

• Structured analytical mindset.

• Proactive communicator.

• Ability to juggle multiple priorities and meet deadlines.

• Collaborative spirit and willingness to support junior team members.

🏝️ Benefits

• Competitive salary.

• Regular career growth discussions.

• Flexible working hours.

• Options for remote work.

• Generous vacation and sick leave policies.

• Financial support for professional growth.

• Educational allowances.

• Monthly allowance for personal activities.

• Comprehensive health insurance packages.

• Referral program.

• Team-building events.

• Corporate gatherings.