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Executive Data Analyst (Finance team)

17 hours, 11 minutes ago
Poland, Serbia, Cyprus, Armenia, Georgia
Full-time
Senior
Financial Analyst
Data Science and Analytics
Blockchain NumPy Pandas Power BI Python SQL Tableau
Apply Now
Gomining

Gomining

Gomining operates the largest global network of mining hotels, providing specialized accommodations for cryptocurrency miners, with its headquarters situated in Hungary.

Construction & Engineering
11-50
Founded 2017
View All Jobs 13

Description

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

Requirements

  • 5+ years of experience in data analytics, product analytics, or financial analytics.
  • Strong experience in FinTech, Financial Services, Crypto, or Payments environments.
  • Experience with crypto, digital assets, or Web3 products.
  • Understanding of financial products such as payments, lending, crypto-assets, brokerage, or similar transaction-based systems.
  • Strong SQL skills and practical experience with Python, including pandas, numpy, and visualization libraries.
  • Proficiency with BI tools such as Looker Studio, Tableau, or Power BI.
  • Ability to work with large datasets, clean data, and identify meaningful patterns.
  • Experience with customer lifecycle analytics, including LTV, churn, and retention.
  • Understanding of marketing and sales performance metrics such as ROI, CAC, and conversion.
  • Strong skills in forecasting, financial modeling, and scenario analysis.
  • Ability to present insights clearly to non-technical stakeholders.
  • English proficiency at B2/C1 level.

Benefits

  • Professional growth support for courses, conferences, and English learning, with up to 100% coverage.
  • Remote or hybrid work format with flexible hours across international teams.
  • Up to 28 vacation days, plus 8 company holidays and 5 personal days per year.
  • Structured performance reviews and team awards.
  • International retreats, including access to company apartments in Cyprus.

Interested in this position?

Apply directly on the company website

Apply Now

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