Marketing data analyst

Type: Full-time

We are looking for a senior analytics professional to become the central analytical intelligence for an investment fund managing 20+ iGaming companies. This role is not about reporting — it is about building analytical infrastructure and driving high-impact business decisions across the portfolio.This is an expert individual contributor role, not a people-management position. We are looking for a senior marketing analytics professional who can combine deep iGaming domain expertise, strong statistical/data science skills, and hands-on AI automation to build agentic analytics workflows across a portfolio of iGaming companies.

Requirements

• 5+ years in data analytics / data science / marketing analytics.
• Strong hands-on experience in iGaming, sports betting, online casino, or a closely related high-volume performance marketing environment. Operator-side experience only (no agencies/vendors).
• Deep understanding of iGaming marketing funnels: View2Reg, Reg2Dep, FTD2RD, deposits, repeat deposits, retention, reactivation, GGR, NGR, CAC, LTV, ARPU, churn, payback.
• Strong SQL and Python skills.
• Proven experience with LTV, churn, cohort, retention, reactivation, segmentation, propensity, or traffic quality models.
• Strong knowledge of statistics, A/B testing, incrementality, attribution, holdouts, cohort analysis, and marketing measurement.
• Experience analyzing paid acquisition, affiliates, media buying, CRM/lifecycle campaigns, bonus mechanics, or traffic quality.
• Experience with BI tools such as Metabase, Tableau, Power BI, Looker or similar.
• Practical experience using AI tools to automate analytical work: SQL generation, data exploration, anomaly detection, reporting, documentation, or insight generation.
• Ability to translate complex analysis into clear business recommendations for senior stakeholders.

Responsibilities

• Own and improve marketing analytics across a portfolio of iGaming companies, with focus on acquisition, player behavior, traffic quality, LTV, churn, retention, reactivation, payback, and unit economics.
• Analyze marketing performance across GEOs, channels, affiliates, campaigns, and player segments to identify growth opportunities, inefficient spend, suspicious traffic patterns, and weak funnel points.
• Build reusable analytical frameworks, dashboards, alerts, SQL/Python workflows, and models that help teams make faster and more consistent marketing decisions.
• Develop and improve LTV, churn, cohort, retention, reactivation, segmentation, payback, and traffic quality analysis.
• Identify recurring analytical tasks and automate them using AI tools, LLMs, agents, scripts, and data workflows.
• Build practical AI-assisted analytics use cases such as anomaly investigation, campaign diagnostics, cohort analysis, traffic quality checks, LTV monitoring, and automated performance summaries.
• Help standardize key metric definitions across portfolio companies, including CAC, LTV, ARPU, churn, retention, FTD, repeat deposits, GGR, NGR, payback, and funnel conversion.
• Support attribution, incrementality, A/B testing, holdout analysis, budget allocation, and marketing performance benchmarking.
• Translate complex analytical findings into clear, actionable recommendations for marketing, product, finance, executive, and investment stakeholders.
• Ensure analytical outputs, including AI-generated insights, are validated, documented, based on reliable data, and reviewed with appropriate human judgment.

Strong Plus

• Experience in building AI agents, analytical copilots, RAG systems, LLM-powered workflows, or automated insight-generation systems.
• Experience with Claude Code, OpenAI Codex, LangChain, Cursor, or similar tools.
• Experience with BigQuery, Snowflake, Redshift, Databricks, or similar cloud data platforms.
• Experience with causal inference methods: geo experiments, diff-in-diff, synthetic control, uplift modeling, MMM.
• Experience with fraud signals, bonus abuse, affiliate traffic scoring, payment behavior, or GEO-level conversion dynamics.
• Operator-side iGaming experience is strongly preferred; agency/vendor-only experience is usually not enough.

What We Offer

• Competitive compensation package with performance-based incentives;
• Health Insurance compensation;
• Sports benefits;
• 21 working days of paid vacation per year;
• 25 paid sick days annually — no doctor’s note required;
• 3 additional paid days off per year for personal use;
• Partial reimbursement for psychological support sessions;
• $600 annual education budget;
• Paid business trips to our Cyprus HQ.

Ready to join our team?

Apply now — we’re excited to meet you.

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