GoMining
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
Data Analyst
November 25
GoMining
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
• Analyze marketing and product data to identify trends, patterns, and opportunities for optimization. • Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI). • Participate in building analytical and forecasting models based on product, financial, and behavioral data. • Prepare technical documentation and maintain data dictionaries for the analytics function. • Support automation of analytical processes, reporting pipelines, and recurring workflows. • Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment. • Present insights to stakeholders in a structured, clear, and actionable format.
🎯 Requirements
• 2+ years of experience in data analytics, product analytics, or marketing analytics. • 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, 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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