Data Analyst

Tribute

WorldwideFully remoteFull TimeMid LevelInformation Technology
Posted 4h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 4 hours ago · apply link checked 30 minutes ago

About the role

Responsibilities

  • Find growth opportunities across funnels, cohorts and creator segments
  • Dig into changes in key metrics and find their root causes
  • Design A/B tests and interpret the results
  • Develop marketing analytics: CAC, LTV, ROMI, attribution
  • Communicate findings to product, marketing and leadership
  • Build data marts and schedule their updates in Airflow
  • Design and maintain event tracking together with engineering
  • Build dashboards in Superset and Grafana
  • Automate recurring reporting, data quality checks and metric alerts

Requirements

  • 3+ years in product or marketing analytics
  • Research mindset and ability to take research to recommendations
  • Solid SQL, including window functions and data mart design
  • Experience with Airflow or similar tools
  • Python for data analysis and automation
  • Experience with BI tools such as Superset or Grafana
  • Applied statistics for A/B tests and confidence intervals
  • Proficiency with AI coding agents
  • Ability to explain findings simply to non-analysts

Preferred Qualifications

  • Experience setting up AI agents for analytics via MCP
  • In-depth marketing analytics experience: acquisition funnel, attribution, LTV modeling
  • Background in creator economy, subscription products, fintech or Telegram ecosystem

Benefits

  • Remote setup with access to hubs in Dubai, Yerevan, London and Belgrade
  • Compensation for medical expenses
  • Provision of necessary equipment
  • 20 working days of paid vacation annually
  • 11 days off per year
  • 14 days of paid sick leave

About the Company

  • Tribute is the leading monetization platform on Telegram, used by 60k+ creators.

What we look for

  • 3+ years in product or marketing analytics
  • Research mindset and ability to take research to recommendations
  • Solid SQL, including window functions and data mart design
  • Experience with Airflow or similar tools
  • Python for data analysis and automation
  • Experience with BI tools such as Superset or Grafana
  • Applied statistics for A/B tests and confidence intervals
  • Proficiency with AI coding agents
  • Ability to explain findings simply to non-analysts
  • Experience setting up AI agents for analytics via MCP
  • In-depth marketing analytics experience: acquisition funnel, attribution, LTV modeling
  • Background in creator economy, subscription products, fintech or Telegram ecosystem
PythonSQLBusiness IntelligenceData AnalysisGrafanaAirflowA/B TestingData EngineeringSupersetClaude CodeCursorCodex
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