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GoMining logo
GoMining

We make Bitcoin mining simple, accessible and fun.

Data Analyst (Finance team)

Data AnalystData AnalystFull TimeRemoteMid LevelTeam 201-500Since 2017H1B No SponsorCompany SiteLinkedIn

Location

Moldova

Posted

50 days ago

Salary

0

Seniority

Mid Level

Job Description

Data Analyst (Finance team)

GoMining

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. 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.

Job 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).

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