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GoMining

10 months ago

Financial Analyst

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Company information

Company
GoMining
Location
Polska Poland
Posted
10 months ago
View all jobs at GoMining

Job description

We are looking for a highly analytical Financial Analyst who will build financial models, calculate business unit economics, support investment decisions, and maintain high-quality financial data across the company.

This role is ideal for someone who thinks in numbers, works fast, and can convert raw data into actionable insights for top management.

Responsibilities:Build, maintain, and improve complex financial models (unit economics, forecasting, scenario analysis, sensitivity models).

Develop and calculate profitability and cost-efficiency models across products, hosting, logistics, and infrastructure.

Create cash flow models, ROI assessments, NPV/IRR calculations, and financial projections for new initiatives.

Analyze product and marketing metrics and convert them into financial impact (conversion → revenue → margin).

Maintain multiple financial spreadsheets and dashboards, ensuring daily accuracy and stable structure.

Perform operational financial analysis: pricing, cost structure, budgeting, break-even points.

Provide management with reports, insights, and data-driven recommendations.

Support procurement and logistics calculations: equipment costs, delivery costs, cost per TH, payback periods.

Analyze key product indicators:
– NFT pricing & revenue flow
– automatic shutdown system impact
– “miner in installments” unit economics

Coordinate with product, finance, and operations teams on financial data, models, and decision-making.

Requirements

Very strong Excel / Google Sheets skills: advanced formulas, array functions, scenario modeling, cross-sheet architecture.

Experience building financial models from scratch.

Excellent analytical skills and the ability to structure ambiguous financial tasks.

English C1+ — ability to communicate with international stakeholders.

High attention to detail and accuracy, especially when working with large datasets.

Strong discipline, independence, and readiness to work directly with executives.

Strong technical or mathematical education (preferred universities: MSU Mechanics & Math, MSU Physics, MIPT, MEPhI, HSE, NES).

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, 15 sick days, plus local holidays.
  • Recognition programs: structured performance reviews and team awards.
  • Team culture: retreats in international locations (for example, company villa in Turkey, Bali).

Required skills

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