Data Analyst

GoMining is looking for a Data Analyst who will work with marketing and product data, build visualizations, support decision-making with accurate insights, and contribute to analytical models and automation.

This role is ideal for someone who combines strong analytical thinking with business understanding and can turn data into actionable recommendations in complex, transaction-heavy environments.

Responsibilities

Analyze marketing and product data to identify trends, patterns, and optimization opportunities

Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI)

Build analytical and forecasting models based on product, financial, and behavioral data

Work with datasets related to fintech, payments, crypto, and transaction-based systems

Analyze financial product performance, including payments, lending, brokerage, or digital asset flows

Support analytics for crypto / Web3 products and digital asset ecosystems

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, engineering, and finance 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, Cyprus)