Marketing Data Analyst (Igaming)

TL;DR

Marketing Data Analyst (Igaming): Analyzing marketing performance across casino brands to gain visibility and control over marketing spend. Focus on acquisition quality, traffic efficiency, and uncovering insights for better marketing and business decisions.

Location: Worldwide

Company

hirify.global is an international technology company with software development expertise in iGaming, fintech, and martech.

What you will do

• Work closely with marketing, account management, and business teams to define marketing metrics and evaluate client performance.
• Analyze marketing performance across multiple casino brands and clients.
• Build and maintain benchmarks and performance baselines to identify patterns and track deviations.
• Run in-depth marketing analytics, including funnel, conversion, and cohort-based performance analysis.
• Build and maintain BI dashboards for marketing performance, client comparison, and operational reporting.
• Monitor data quality and consistency across marketing, user, and financial data.

Requirements

• 3+ years of experience as a Marketing Analyst / Data Analyst / Performance Analyst.
• Strong analytical and business understanding of marketing performance, including acquisition quality, traffic efficiency, and key financial metrics.
• Experience working with marketing, performance, or financial data across multiple clients, brands, or products.
• Solid understanding of marketing analytics concepts, such as funnels, conversion logic, cohort-based analysis, and LTV metrics.
• Ability to translate business questions into analytical tasks and insights, explaining results to non-technical stakeholders.
• Experience with BI tools, ideally Tableau.
• Russian level B2
• English level B2: Confident participation in calls and discussions with English-speaking colleagues and clients.

Nice to have

• Experience in iGaming / fintech / B2B SaaS / marketing platforms.
• Understanding of iGaming unit economics (deposits, bonuses, bets, NGR, etc.).
• Basic statistics knowledge (confidence intervals, p-values).
• SQL: ability to read and write analytical queries.
• Experience with ClickHouse.
• Python for analytics.

Culture & Benefits

• Comprehensive Mental Health Programme
• Private insurance (depending on contract type)
• Paid gym memberships
• Free English lessons (online)
• +1 day off per calendar year
• Referral program rewards
• Upskilling, internal workshops, and participation in professional conferences and corporate events