Marketing Analytics Lead

We are looking for a Marketing Analytics Lead to build and scale the marketing analytics function in a fast-growing international environment.

This is a high-impact role for someone who enjoys combining hands-on analytics, experimentation, attribution modeling, and team leadership. You will work closely with Marketing, Product, BI, and Leadership teams to drive data-informed decisions and unlock growth opportunities across multiple markets and acquisition channels.

• Lead the marketing analytics function and manage a team of analysts
• Define priorities, analytical frameworks, and reporting standards
• Evaluate performance across brands, countries, regions, and acquisition channels
• Design, execute, and analyze marketing experiments from hypothesis to business recommendations
• Develop and improve attribution methodologies, including multi-touch attribution (MTA)
• Partner with BI teams to automate reporting and build scalable dashboards
• Analyze data from Google Ads, Meta, Tik Tok, Apps Flyer, GA4, and internal platforms
• Identify growth opportunities and optimize user acquisition funnels
• Present actionable insights and recommendations to senior stakeholders

• 4+ years of experience in Marketing Analytics, Growth Analytics, or Performance Marketing Analytics
• Previous experience leading analysts or mentoring team members
• Deep understanding of user acquisition, attribution, and marketing performance metrics
• Hands-on experience with Apps Flyer, GA4, or similar marketing analytics platforms
• Strong knowledge of experimentation, A/B testing, and causal inference methods
• Ability to translate complex analysis into clear business decisions
• Fluent English and Russian

• Experience with MTA, MMM, incrementality testing, or attribution modeling
• Experience working in high-growth B2C, iGaming, subscription, mobile, e-commerce, or digital product environments
• Experience with Tableau, Power BI, Looker, or other BI tools

• Opportunity to shape the marketing analytics function and influence strategic decisions
• High visibility across leadership and cross-functional teams
• Large-scale datasets and international markets
• Strong ownership and decision-making authority