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GoMining

Senior Data Analyst (Product team)

Posted 5 Hours Ago
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Remote
Hiring Remotely in Georgia, USA
Senior level
Remote
Hiring Remotely in Georgia, USA
Senior level
Lead product analytics across multiple products: own event tracking, funnel analysis, A/B testing framework, AI/LLM-driven insights, dashboards, and reporting. Ensure data quality, define KPIs, run experiments, automate monitoring, and collaborate with Product, Engineering, Marketing, and leadership to drive data-driven decisions.
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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.

Requirements
  • 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.

Benefits
  • 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.

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