Senior Data Analyst (Product team) | Careers at GoMining

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.

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.

Requirements:

• 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: