Performance Analyst / Marketing Analytics Specialist

GoMining

Казахстан
Постоянная работа
Полная занятость

1 мес. назад
Быстрый отклик

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).

GoMining