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
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Own and develop product analytics across multiple products and user journeys.
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Design and maintain a unified product event tracking framework.
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Ensure data quality, consistency, and reliability across all product events.
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Build and optimize end-to-end product funnels to identify growth opportunities and bottlenecks.
Experimentation & AI
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Build and scale the company’s A/B testing framework.
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Design experiments, define success metrics, and analyze results.
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Use AI and LLM technologies to automate experiment analysis, anomaly detection, and product insights.
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Drive adoption of AI-powered analytics across product teams.
Metrics & Reporting
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Define product KPIs together with Product Managers and business stakeholders.
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Build dashboards and reporting systems used by product and leadership teams.
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Automate reporting and metric monitoring.
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Deliver actionable insights that improve product performance and business outcomes.
Cross-functional Collaboration
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Work closely with Product, Engineering, Marketing, and Leadership teams.
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Help teams make data-driven product decisions.
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Promote best practices in experimentation, analytics, and data quality.
Requirements
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5+ years of experience in Product Analytics.
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Experience working in fintech, payments, crypto, or other transaction-heavy digital products.
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Proven experience building an A/B testing framework from scratch, including experiment design, statistical methodology, and rollout across product teams.
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Strong experience designing and maintaining product event tracking systems.
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Experience working with analytics platforms such as Amplitude, PostHog, GA4, or similar.
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Hands-on experience applying AI and LLMs to analytics, including automated insights, anomaly detection, or experiment analysis.
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Strong SQL and Python skills.
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Experience working with cloud data platforms such as BigQuery (preferred), Snowflake, Redshift, or AWS.
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Strong analytical thinking and excellent communication skills.
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English B2/C1.
Nice to have
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Experience with BigQuery and Google Cloud Platform.
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Experience building product metrics frameworks for multiple products.
Understanding of cryptocurrency, digital assets, or Web3 products.
Benefits
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Learning support - courses, English classes, and conferences (up to 100% reimbursement)
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Unique loyalty program - receive corporate digital miners and earn passive income with no investment
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Team culture: retreats in international locations (for example, company apartments in Cyprus).
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Memorable events with wow prizes - we celebrate big occasions in a big way
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“Employee of the Month” award - we recognize and reward our top performers
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Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
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New career tracks - real opportunities to grow into expert or top management roles
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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.