Senior Data Analyst (Product team)

GoMining; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Learning reimbursement

Job summary

GoMining seeks a Senior Data Analyst to lead product analytics across the GoMining ecosystem. You will own the development of our product analytics capabilities — from event tracking and funnel analytics to A/B testing infrastructure, AI-powered insights, and product performance reporting.

This role suits someone who combines deep analytical expertise with hands-on experience building scalable analytics systems and leveraging AI to improve decision-making.

Qualifications

• 5+ years of experience in Product Analytics, preferably in fintech or transaction-heavy digital products.
• Proven experience building an A/B testing framework from scratch.
• Strong SQL and Python skills; experience with cloud data platforms (BigQuery, Snowflake, Redshift, or AWS).
• Experience with analytics platforms such as Amplitude, PostHog, GA4, or similar.

Responsibilities

• Own and develop product analytics across multiple products and user journeys.
• Design and maintain a unified product event tracking framework.
• Ensure data quality, consistency, and reliability across all product events.
• Build and optimize end-to-end product funnels to identify growth opportunities and bottlenecks.
• Build and scale the company’s A/B testing framework.
• Design experiments, define success metrics, and analyze results.
• Use AI and LLM technologies to automate experiment analysis, anomaly detection, and product insights.
• Drive adoption of AI-powered analytics across product teams.
• Define product KPIs together with Product Managers and business stakeholders.
• Build dashboards and reporting systems used by product and leadership teams.
• Automate reporting and metric monitoring.
• Deliver actionable insights that improve product performance and business outcomes.
• Work closely with Product, Engineering, Marketing, and Leadership teams.
• Promote best practices in experimentation, analytics, and data quality.

Skills

SQL

Python

BigQuery

Amplitude

PostHog

GA4

Tools

Amplitude

PostHog

GA4

Job description

We are looking for a Senior Data Analyst to lead product analytics across the GoMining ecosystem.

You will own the development of our product analytics capabilities — from event tracking and funnel analytics to A/B testing infrastructure, AI-powered insights, and product performance reporting.

This role is ideal for someone who combines deep analytical expertise with hands‑on experience building scalable analytics systems and leveraging AI to improve decision‑making.

Responsibilities:Product Analytics

• Own and develop product analytics across multiple products and user journeys.
• Design and maintain a unified product event tracking framework.
• Ensure data quality, consistency, and reliability across all product events.
• Build and optimize end‑to‑end product funnels to identify growth opportunities and bottlenecks.
  Experimentation & AI
• Build and scale the company’s A/B testing framework.
• Design experiments, define success metrics, and analyze results.
• Use AI and LLM technologies to automate experiment analysis, anomaly detection, and product insights.
• Drive adoption of AI‑powered analytics across product teams.
  Metrics & Reporting
• Define product KPIs together with Product Managers and business stakeholders.
• Build dashboards and reporting systems used by product and leadership teams.
• Automate reporting and metric monitoring.
• Deliver actionable insights that improve product performance and business outcomes.
  Cross‑functional Collaboration
• Work closely with Product, Engineering, Marketing, and Leadership teams.
• Help teams make data‑driven product decisions.
• Promote best practices in experimentation, analytics, and data quality.
• 5+ years of experience in Product Analytics.
• Experience working in fintech, payments, crypto, or other transaction‑heavy digital products.
• Proven experience building an A/B testing framework from scratch, including experiment design, statistical methodology, and rollout across product teams.
• Strong experience designing and maintaining product event tracking systems.
• Experience working with analytics platforms such as Amplitude, PostHog, GA4, or similar.
• Hands‑on experience applying AI and LLMs to analytics, including automated insights, anomaly detection, or experiment analysis.
• Strong SQL and Python skills.
• Experience working with cloud data platforms such as BigQuery (preferred), Snowflake, Redshift, or AWS.
• Strong analytical thinking and excellent communication skills.
• English B2/C1.

Nice to have

• Experience with BigQuery and Google Cloud Platform.
• Experience building product metrics frameworks for multiple products.
• Experience supporting high‑scale B2C applications.
• Understanding of cryptocurrency, digital assets, or Web3 products.
• Learning support - courses, English classes, and conferences (up to 100% reimbursement)
• Unique loyalty program - receive corporate digital miners and earn passive income with no investment
• Team culture: retreats in international locations (for example, company apartments in Cyprus).
• Memorable events with wow prizes - we celebrate big occasions in a big way
• “Employee of the Month” award - we recognize and reward our top performers
• Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
• New career tracks - real opportunities to grow into expert or top management roles
• Work‑life fit - flexible hours and remote work. You don’t need to chase balance - here, work is a part of life, not the opposite. We aim to make work inspiring, not exhausting. For us, results matter most.