Executive Data Analyst (Finance team)

GoMining is looking for a Senior Data Analyst to join our Finance team and support financial planning, performance analysis, and strategic decision-making.
This position is ideal for someone who combines strong analytical thinking with solid financial understanding and can work confidently in a fast-paced, transaction-heavy fintech / crypto environment.

• Analyze financial data including revenue streams, cost structures, margins, and unit economics.
• Support budgeting, forecasting, and financial planning processes.
• Build and maintain financial dashboards and management reports using BI tools (Looker Studio, Tableau, Power BI).
• Develop financial models for revenue forecasting, scenario analysis, and profitability evaluation.
• Work with transaction-heavy datasets related to payments, crypto flows, mining rewards, digital assets, and platform fees.
• Monitor product and financial performance metrics ARPU, LTV, CAC, churn, contribution margin.
• Support P&L analysis across products and regions.
• Automate recurring financial reports and reporting pipelines.
• Ensure data consistency between finance, product, and operational systems.
• Prepare structured presentations and analytical summaries for CFO and executive team.

• 5+ years of experience in data analytics, product analytics, or marketing analytics.
• Experience as an analyst in FinTech / Financial Services / Crypto / Payments
• Experience in crypto / digital assets / Web3
• Understanding of financial products: payments, lending, crypto-assets, brokerage

• 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 +  8 company holidays + 5 personal days per year
• Recognition programs: structured performance reviews and team awards. 
• Team culture: retreats in international locations (for example, company apartments in Cyprus).