Performance Analyst / Marketing Analytics Specialist
GoMining
Posted: January 20, 2026
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Required Skills
Job Description
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).