Financial Analyst

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GoMining

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Crypto • eCommerce • Fintech

GoMining is a digital mining platform that enables users to earn daily Bitcoin rewards through unique digital miners generated at the time of purchase. Users can manage their miners directly from their mobile phones, benefiting from verified data centers while having full control over their mining operations and rewards. The GoMining ecosystem also features a marketplace for trading miners and offers educational resources to help users maximize their earnings in the cryptocurrency space.

201 - 500 employees

Founded 2017

₿ Crypto

🛍️ eCommerce

💳 Fintech

📋 Description

• 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).