Senior Data Analyst (Product team)

GoMining is an international crypto company reshaping Bitcoin mining through its Liquid Bitcoin Hashrate (LBH) protocol. The company creates Digital Miners—digital assets backed by real hashrate that generate daily BTC rewards—and develops products at the intersection of physical infrastructure and digital innovation, including DeFi and Web3 gaming products.

• 5+ years of experience in Product Analytics.
• Experience in fintech, payments, crypto, or transaction-heavy digital products.
• Proven ability to build A/B testing frameworks from scratch including design and rollout.
• Strong experience with product event tracking systems.
• Experience with analytics platforms such as Amplitude, PostHog, GA4, or similar.
• Hands-on experience applying AI and LLMs to analytics, including automated insights and anomaly detection.
• Strong skills in SQL and Python.
• Experience with cloud data platforms such as BigQuery, Snowflake, Redshift, or AWS.
• Strong analytical thinking and excellent communication skills.
• English language proficiency at B2/C1 level.

Nice to have:

• Experience with 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.

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 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 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.