Performance Analyst / Marketing Analytics SpecialistGomining • London, England, United Kingdom
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Performance Analyst / Marketing Analytics Specialist
Gomining
- London, England, United Kingdom
- London, England, United Kingdom
Über
We are a growth team responsible for 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).
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Sprachkenntnisse
- English
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