Analyze marketing and product data, build dashboards and visual reports, develop forecasting and predictive models, automate reporting pipelines, document data assets, and present actionable insights to product, marketing, engineering, and finance stakeholders in fintech and crypto transaction environments.
GoMining is looking for a 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.
Requirements
- 2+ 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.
Benefits
- 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).
Top Skills
Looker Studio
Numpy
Pandas
Power BI
Python
SQL
Tableau
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