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SENIOR DATA ANALYST (PRODUCT TEAM)

GoMining
Full-timesenior

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.

Skills

SQLPythonAmplitudePostHogGA4BigQuerySnowflakeRedshiftAWSLLMsA/B testingevent trackingfunnel analyticsproduct metricsdata qualityAI-powered insightsanomaly detectionexperiment designstatistical methodologydashboardingreporting systemsautomated reportingGoogle Cloud Platform