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Responsibilities
- Analyze marketing and product data to identify trends, patterns, and opportunities for optimization
- Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI)
- Participate in building analytical and forecasting models based on product, financial, and behavioral data
- Prepare technical documentation and maintain data dictionaries for the analytics function
- Support automation of analytical processes, reporting pipelines, and recurring workflows
- Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment
- Present insights to stakeholders in a structured, clear, and actionable format
- 2+ years of experience in data analytics, product analytics, or marketing analytics
- Strong SQL skills and practical experience with Python (pandas, numpy, visualization libraries)
- Proficiency with BI tools: Looker Studio / Tableau / Power BI
- Ability to work with large datasets, clean data, and identify statistical patterns
- Experience with customer segmentation and lifecycle analytics (LTV, Churn, Retention)
- Understanding of marketing and sales performance metrics (ROI, CAC, conversion metrics)
- Skills in forecasting and building predictive or statistical models
- English level B2/C1 — able to communicate clearly in international teams
- 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)
Key Skills
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