Senior Data Analyst to lead product analytics across the GoMining ecosystem, owning analytics development from event tracking and funnel analytics to A/B testing infrastructure and AI-powered insights. Collaborate with product, engineering, marketing and leadership to drive data-informed decisions and measurable product improvements. Responsibilities include designing and maintaining a unified product event tracking framework, ensuring data quality and reliability for product events, building and optimizing end-to-end product funnels, and delivering actionable insights to improve product performance and business outcomes. The role also covers building and scaling the company’s A/B testing framework, defining success metrics, and applying AI-powered analytics to automate insights, anomaly detection, and experiment analysis. Preferred qualifications include strong SQL and Python skills and experience with analytics platforms such as Amplitude, PostHog, GA4, or similar, plus cloud data platforms like BigQuery, Snowflake, Redshift, or AWS. Nice-to-have items include experience with BigQuery and Google Cloud, building product metrics frameworks for multiple products, supporting high-scale B2C applications, and familiarity with cryptocurrency or Web3 products. Fluent English (B2/C1).

Senior Data Analyst to lead product analytics across the GoMining ecosystem, owning analytics development from event tracking and funnel analytics to A/B testing infrastructure and AI-powered insights. Collaborate with product, engineering, marketing and leadership to drive data-informed decisions and measurable product improvements. Responsibilities include designing and maintaining a unified product event tracking framework, ensuring data quality and reliability for product events, building and optimizing end-to-end product funnels, and delivering actionable insights to improve product performance and business outcomes. The role also covers building and scaling the company’s A/B testing framework, defining success metrics, and applying AI-powered analytics to automate insights, anomaly detection, and experiment analysis. Preferred qualifications include strong SQL and Python skills and experience with analytics platforms such as Amplitude, PostHog, GA4, or similar, plus cloud data platforms like BigQuery, Snowflake, Redshift, or AWS. Nice-to-have items include experience with BigQuery and Google Cloud, building product metrics frameworks for multiple products, supporting high-scale B2C applications, and familiarity with cryptocurrency or Web3 products. Fluent English (B2/C1).