Data Analyst (Marketing & Product)

Описание

Are you passionate about turning data into actionable insights that drive business growth? Do you thrive at the intersection of analytics, product, and marketing in dynamic international markets? We are looking for a talented Data Analyst to help us evaluate opportunities, optimize performance, and support expansion across diverse regions.

Responsabilities:

• Market Potential Analysis: Collect, process, and analyze data to assess regional opportunities and prioritize launches.
• Unit Economics Evaluation: Calculate and interpret key metrics across markets, including CAC, LTV, Payback Period, ARPU, GMV, ROI, retention, and churn.
• Financial Performance Tracking: Measure and analyze revenue streams, gross and net margin, and the share of paying users in new markets.
• Forecasting & Modeling: Build predictive models for user growth, revenue planning, and marketing budget allocation.
• Marketing Funnel Analytics: Design, monitor, and optimize funnels covering acquisition, activation, retention, and re-engagement.
• Cohort & Experimentation: Run cohort analyses, segmentation studies, and A/B tests (marketing + product), while generating hypotheses and conducting post-launch reviews for GTM teams.
• Data Visualization & Reporting: Develop and maintain dashboards (Power BI, Amplitude) and deliver regular reports to stakeholders.
• Cross-Functional Collaboration: Partner with marketing, expansion, and product teams to align strategies and maximize impact. 

• 2+ years of experience as a Data Analyst, Product Analyst, or Marketing Analyst.
• Strong skills in SQL and Excel/Google Sheets; knowledge of Python or R is a big plus.
• Experience with BI and analytics tools (Amplitude, Power BI, GA4, Looker, Mixpanel, etc.).
• Solid understanding of financial and digital product KPIs (LTV, CAC, ARPU, P&L, ROI).
• Proven ability to build business models and forecasts based on data.
• Experience in crypto, fintech, or international markets is a strong advantage.
• Analytical mindset with high attention to detail, independence, and structured thinking.
• Strong communication skills with the ability to present complex findings as clear, actionable insights.
• English proficiency at B2 level or higher (mandatory).