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Performance Analyst / Marketing Analytics Specialist

1 month, 3 weeks ago
Latvia, Serbia, Cyprus, Armenia, Georgia, Kazakhstan
Full-time
Mid Level
Data Analyst
Data Science and Analytics
Looker Machine Learning Power BI SQL Tableau
Apply Now
Gomining

Gomining

Gomining operates the largest global network of mining hotels, providing specialized accommodations for cryptocurrency miners, with its headquarters situated in Hungary.

Construction & Engineering
11-50
Founded 2017
View All Jobs 13

Description

  • Implement and maintain event tracking for mobile apps and web platforms.
  • Manage third-party tracking platforms (Adjust, AppsFlyer), including postback setup and reconciliation.
  • Integrate and support SDKs (mobile & web) in close collaboration with engineering teams.
  • Configure and validate events in Google Firebase and perform funnel, retention, and behavioral analysis.
  • Work with Google ICM and Facebook AEM for attribution and campaign measurement.
  • Design and maintain server-to-server (S2S) tracking and define client vs server-side event logic.
  • Monitor and resolve data discrepancies and ensure attribution/data quality.
  • Analyze traffic quality and data efficiency by identifying low-quality or fraudulent traffic and studying 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/ad networks, and maintain whitelists/blacklists.
  • Design and maintain dashboards and performance reports for marketing and business teams and support experimentation/A/B test analysis.

Requirements

  • 3+ years of experience in performance, mobile, or product analytics.
  • Strong understanding of event-based analytics and attribution models.
  • Knowledge of client-side vs server-to-server (S2S) tracking and traffic quality/fraud patterns.
  • Hands-on experience with Appsflyer and/or Adjust.
  • Hands-on experience with Google Firebase (event configuration and validation).
  • Experience with SDK integrations (mobile & web) and collaborating with engineering teams.
  • 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).
  • Nice to have: experience with anti-fraud tools and methodologies and knowledge of GA4.
  • Nice to have: experience with CDP, data warehouses (DWH), or data pipelines.
  • Nice to have: basic experience with statistical modeling or machine learning.

Benefits

  • Professional growth support for courses, conferences, and English learning (up to 100% coverage).
  • Remote or hybrid work format with flexible hours across international teams.
  • Paid leave: up to 28 vacation days, 15 sick days, plus local holidays.
  • Structured performance reviews and team awards (recognition programs).
  • Team retreats in international locations (examples include company villa in Turkey and Bali).

Interested in this position?

Apply directly on the company website

Apply Now

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