Head of Product Analytics & Growth Experiments

qlub; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Ownership

Impact

Fast-paced

Collaboration

Global reach

Job summary

qlub is seeking a leader to own product analytics and scale its experimentation engine, enabling 50+ A/B tests monthly. You will define data models and governance, partner with Product, Ops, Tech and Data Engineering, and mentor a small analytics team to drive rigorous, AI-ready analytics across a global fintech platform.

You will shape the analytical stack, standardize test design, sample sizing, metrics and guardrails, and enable product decisions with reliable data and clear communication to

Qualifications

• 5+ years in analytics or data science at a data-driven company or platform.
• Strong statistics: power analysis, variance reduction, sequential testing.
• Proven data modeling: dimensional modelling, event schema, and governance.

Responsibilities

• Lead experimentation end-to-end: scale A/B testing and set design standards.
• Coach PMs and ops leads to run experiments and build playbooks.
• Define the analytical data model and governance standards with Tech/Data Eng.
• Introduce data contracts and ensure proper event/table design from the start.
• Grow a team of analysts and drive cross-functional collaboration.

Skills

Experimentation culture

Statistics

SQL

dbt

Airflow

Git

BigQuery

Google Cloud Storage

ClickHouse

Data governance

Marketing analytics

Tools

dbt

Airflow

Git

Google Cloud Storage

BigQuery

ClickHouse

Atlan

Alation

OpenMetadata

Job description

qlub is seeking a leader to own product analytics and scale its experimentation engine, enabling 50+ A/B tests monthly. You will define data models and governance, partner with Product, Ops, Tech and Data Engineering, and mentor a small analytics team to drive rigorous, AI-ready analytics across a global fintech platform.

You will shape the analytical stack, standardize test design, sample sizing, metrics and guardrails, and enable product decisions with reliable data and clear communication to