Senior Data Analyst (Product team)
Indexed description
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.
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
- 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
- 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
- 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
- Learning support - courses, English classes, and conferences (up to 100% reimbursement)
- Unique loyalty program - receive corporate digital miners and earn passive income with no investment
- Team culture: retreats in international locations (for example, company apartments in Cyprus)
- Memorable events with wow prizes - we celebrate big occasions in a big way
- "Employee of the Month" award - we recognize and reward our top performers
- Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
- New career tracks - real opportunities to grow into expert or top management roles
- Work-life fit - flexible hours and remote work. You don't need to chase balance - here, work is a part of life, not the opposite. We aim to make work inspiring, not exhausting. For us, results matter most
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search