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Data Analyst

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Description

You will investigate funnels, cohorts, creator segments, and metric changes to identify growth opportunities. You will design and analyze A/B tests, develop marketing analytics, build data marts and dashboards, maintain event tracking, and automate reporting, quality checks, and metric alerts.

Responsibilities

  • Find growth opportunities across funnels, cohorts, and creator segments
  • Investigate changes in key metrics and identify root causes
  • Design A/B tests and interpret results
  • Develop CAC, LTV, ROMI, and attribution analytics
  • Communicate findings, recommendations, and impact estimates
  • Build data marts and schedule updates in Airflow
  • Design and maintain event tracking with engineering
  • Build dashboards in Superset and Grafana
  • Automate reporting, data-quality checks, and metric alerts
  • Develop self-service analytics

Requirements

  • 3+ years in product or marketing analytics
  • Hypothesis development and research
  • SQL, including complex queries, window functions, and data mart design
  • Airflow or similar tools
  • Python for data analysis and automation
  • Superset, Grafana, or similar BI tools
  • Statistics, A/B-test design, confidence intervals, and results interpretation
  • AI coding agents
  • Stakeholder communication

Benefits

  • Remote setup with access to hubs in Dubai, Yerevan, London, and Belgrade
  • Medical-expense compensation
  • Necessary equipment
  • Access to advanced AI models via mira.tg
  • 20 working days of paid vacation annually
  • 11 days off per year
  • 14 days of paid sick leave

Skills

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See also

Data Analytics jobs by country — openings, pay and top skills →