GoMining

    Financial Analyst

    GoMining
    Posted 11/27/2025Mid Level
    New! 🎉
    Full-time
    Finance & Accounting
    Financial Modeling
    Data Analysis
    Excel
    Google Sheets
    Forecasting

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    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.

    Responsobilities:

    • 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.
    • 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). 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).

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