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.
Responsibilities
- Implement and maintain event tracking for mobile apps and web platforms.
- Work with 3rd-party tracking platforms (Adjust, AppsFlyer)
- Postback setup and reconciliation
- Integrate and support SDKs (mobile & web) in close collaboration with engineering teams
- Work with Google Firebase: event configuration and validation funnel, retention, and behavioral analysis
- Work with Google ICM and Facebook AEM
- Design and maintain server-to-server (S2S) tracking: client vs server-side event logic
- Monitoring and resolving data discrepancies
- Analyze 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 teams
- Develop 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 data
- Experience collaborating with developers and marketing teams
Nice to Have
- Experience with BI tools (Looker, Tableau, Power BI, etc.)
- Experience with anti-fraud tools and methodologies
- Knowledge of GA4
- Experience with CDP, DWH, or data pipelines
- Basic 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, 15 sick days, plus local holidays.
- Recognition programs: structured performance reviews and team awards.
- Team culture: retreats in international locations (for example, company villa in Turkey, Bali).