Senior Product Analytics Lead

About the Project
We are looking for an experienced Senior Product Analytics Lead to join a fast-growing international fintech company developing digital payment and customer experience solutions for the hospitality industry.
The company already has a Product Analytics function, a Data Engineering team, and an existing experimentation platform. The next step is to scale experimentation beyond Product into Operations, Sales, and other business functions.
The key objective is to establish a scalable experimentation framework that enables teams to independently design, execute, and evaluate 50+ A/B tests per month.

Key Responsibilities

• Own and scale the company’s experimentation framework across Product, Operations, Sales, and other departments.
• Improve and configure the existing A/B testing infrastructure (currently GrowthBook), evaluate alternatives, and implement improvements where needed.
• Establish standards for experiment design, sample sizing, statistical significance, success metrics, and guardrails.
• Apply advanced statistical methods, including power analysis, variance reduction, and sequential testing.
• Enable experimentation across web and mobile applications.
• Develop experimentation playbooks, templates, documentation, and best practices.
• Train Product Managers, Operations Leads, and other stakeholders to design and run experiments independently.
• Review experiment quality, interpret results, and translate findings into actionable business recommendations.
• Collaborate with Product, BI, Data Engineering, and leadership teams to improve data-driven decision-making.
• Contribute to analytics tooling and data modeling decisions where relevant.

Requirements

• 5+ years of experience in Product Analytics, Experimentation, Data Science, or a related field.
• Proven hands-on experience building or significantly scaling an experimentation program in a data-driven organization.
• Strong knowledge of A/B testing methodology, experiment design, and statistical analysis.
• Practical experience with experimentation platforms such as GrowthBook, Statsig, Optimizely, or similar tools.
• Experience designing and implementing scalable experimentation processes, not just analyzing test results.
• Ability to independently configure experimentation tools and improve existing infrastructure.
• Strong SQL skills and experience working with product analytics data.
• Experience collaborating with Product, Engineering, Data, and business teams.
• Proven ability to introduce new processes, train stakeholders, and drive adoption across departments.
• Strong communication skills and ability to work independently with senior stakeholders.
• Upper-intermediate or higher English proficiency.

Nice to Have

• Experience in large, data-driven companies or established experimentation environments (e.g., Uber, Booking, Delivery Hero, Amazon, Meta).
• Experience with Data Modeling, dimensional modeling, SCDs, event schemas, and data governance.
• Experience with dbt, BigQuery, ClickHouse, or other modern analytical data platforms.
• Familiarity with Mixpanel, Amplitude, Tableau, or similar analytics tools.
• Experience setting up experimentation for mobile applications.
• Experience in fintech, payments, e-commerce, or high-traffic consumer products.
• Experience leading or mentoring analytics teams.
• Familiarity with AI-powered analytics tools and workflows.
• Current Environment

Experimentation: GrowthBook (existing setup, open to improvements or alternative platforms)
Data Warehouse: BigQuery
BI: Tableau (planned transition to other tooling)
AI: Claude with MCP integration
Communication: Slack, Google Workspace
The selected specialist will have the opportunity to influence future tooling decisions.