Performance Analyst / Marketing Analytics Specialist

Skills

About the Role

You will own and implement event tracking and attribution for mobile apps and web platforms. You will integrate and support SDKs, configure Firebase events and funnels, design server-to-server tracking, monitor and resolve data discrepancies, analyze traffic quality and cohort behavior, apply anti-fraud techniques, build dashboards and reports, and develop forecasting and predictive models to support experimentation and A/B testing.

Requirements

• 3+ years of experience in performance, mobile, or product analytics
• Strong understanding of event-based analytics
• Strong understanding of attribution models
• Strong understanding of client-side vs server-to-server tracking
• Strong understanding of traffic quality metrics and fraud patterns
• Hands-on experience with AppsFlyer and/or Adjust
• Hands-on experience with Google Firebase
• Hands-on experience with SDK integrations
• SQL skills and experience working with raw data
• Experience collaborating with developers and marketing teams
• Experience with BI tools (Looker, Tableau, Power BI) (nice to have)
• Experience with anti-fraud tools and methodologies (nice to have)
• Knowledge of GA4 (nice to have)
• Experience with CDP, DWH, or data pipelines (nice to have)
• Basic experience with statistical modeling or machine learning (nice to have)

Responsibilities

• Implement and maintain event tracking for mobile apps and web platforms
• Manage integrations with third-party tracking platforms such as Adjust and AppsFlyer
• Set up and reconcile postbacks
• Integrate and support SDKs in collaboration with engineering teams
• Configure and validate events, funnels, retention, and behavioral analysis in Google Firebase
• Work with Google ICM and Facebook AEM
• Design and maintain server-to-server tracking and client vs server-side event logic
• Monitor and resolve data discrepancies
• Analyze traffic quality and identify low-quality or fraudulent traffic
• Analyze cohort behavior, retention, LTV, and conversion paths
• Apply anti-fraud techniques and detect abnormal patterns
• Collaborate with platforms and ad networks on fraud prevention
• Build and maintain whitelists and blacklists of traffic sources, placements, and publishers
• Design and maintain dashboards and performance reports
• Develop forecasting and predictive models for traffic, revenue, and LTV
• Support experimentation and A/B testing analysis and conclusions

Benefits

• Remote or hybrid work with flexible hours
• Paid leave: up to 28 vacation days, 8 company holidays, and 5 personal days per year
• Recognition programs including structured performance reviews and team awards
• Company retreats in international locations (for example, company apartments in Cyprus)