Data Analyst

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.

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.