Data Analyst at GoMining

, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Looker Studio, Tableau, Power BI, Analytical Modeling, Forecasting, Fintech, Crypto, Web3, Data Cleaning, Customer Segmentation, LTV, Churn, Retention

Industry

technology;Information and Internet

Description

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. 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. 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).

Responsibilities

The Data Analyst will analyze marketing and product data to find trends and optimization opportunities, while designing dashboards and building analytical and forecasting models using product, financial, and behavioral data. Responsibilities also include supporting automation of analytical processes and presenting clear, actionable insights to stakeholders.