Performance Analyst / Marketing Analytics Specialist

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.

• 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)

• 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

• 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

• 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).