Senior Data Analyst (Finance team)
GoMiningPoland1 day ago
Full-timeRemote FriendlyFinance
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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.
Responsibilities:
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.
Responsibilities:
- 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)
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