Senior Data Analyst to lead product analytics across the GoMining ecosystem. You will own the development of 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,

Senior Data Analyst to lead product analytics across the GoMining ecosystem. You will own the development of 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,