About this role
We are a growth team responsible for basically the growth of the company. We are looking for a Performance Analyst who will own event tracking, attribution quality, and traffic efficiency across mobile and web products.
ResponsibilitiesImplement and maintain event tracking for mobile apps and web platforms.Work with 3rd-party tracking platforms (Adjust, AppsFlyer)Postback setup and reconciliationIntegrate and support SDKs (mobile & web) in close collaboration with engineering teamsWork with Google Firebase: event configuration and validation funnel, retention, and behavioral analysisWork with Google ICM and Facebook AEMDesign and maintain server-to-server (S2S) tracking: client vs server-side event logicMonitoring and resolving data discrepanciesAnalyze traffic quality and data efficiency:- Identify low-quality or fraudulent traffic - Analyze cohort behavior, retention, LTV, and conversion paths
Apply anti-fraud techniques: - Detect abnormal patterns (click spamming, SDK spoofing, bot traffic, attribution fraud) - 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 for marketing and business teamsDevelop forecasting and predictive models:- Traffic and revenue forecasting
- LTV and cohort-based predictions
- Support experimentation and A/B testing (analysis and conclusions)
Requirements
Must-have:3+ years of experience in performance, mobile, or product analytics Strong understanding of:- Event-based analytics
- Attribution models
- Client-side vs S2S tracking
- Traffic quality metrics and fraud patterns
Hands-on experience with:-Appsflyer and/or Adjust
- Google Firebase
- SDK integrations
SQL skills and experience working with raw dataExperience collaborating with developers and marketing teams
Nice to HaveExperience with BI tools (Looker, Tableau, Power BI, etc.)Experience with anti-fraud tools and methodologiesKnowledge of GA4Experience with CDP, DWH, or data pipelinesBasic experience with statistical modeling or machine learning
Benefits
Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 28 vacation days + 8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).