Data Analyst

• 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).

EMCD