Senior Product Analytics Lead | AI Insights & Experiments

GoMining; Georgia; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Learning support - courses, English

Corporate digital miners and passive收入

International retreats and team events

Employee recognition programs

Generous paid leave and personal days

Growth tracks to senior leadership

Work-life balance with flexible hours

Job summary

GoMining is seeking 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.

Qualifications

• 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

Responsibilities

• 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
• 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
• 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
• 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

Skills

Product analytics

SQL

Python

AI analytics

Data storytelling

Communication

Tools

Amplitude

PostHog

GA4

BigQuery

Snowflake

Redshift

AWS

Job description

GoMining is seeking 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.