Growth & Product Analytics Lead
Growth & Product Analytics Lead
London (5 days a week in office) | Salary up to £180,000
This is a rare opportunity to own growth outcomes at a fast-scaling technology business where product adoption and usage sit at the heart of commercial success. Working closely with senior leadership, you will combine analytics, experimentation, and execution to drive measurable impact across the customer journey.
The Company
They are an innovative technology business experiencing strong growth and high levels of customer engagement. With a product already demonstrating significant market traction, their focus is on scaling adoption, increasing usage, and unlocking further expansion opportunities across their client base.
The business offers a highly collaborative environment where data-driven decision-making is central to success. You will work alongside experienced leaders and cross-functional teams to influence strategy and deliver meaningful business outcomes.
The Role
As the Growth & Product Analytics Lead, you will take ownership of key growth metrics and identify opportunities to increase product adoption, engagement, and expansion.
Responsibilities include:
- Driving activation and onboarding to improve product adoption rates.
- Identifying opportunities for account expansion through data analysis and user behaviour insights.
- Increasing engagement across product features, platforms, and customer touchpoints.
- Analysing usage trends and delivering recommendations to support revenue growth.
- Defining product instrumentation and telemetry requirements to improve decision-making.
- Building, testing, and implementing solutions rather than relying solely on recommendations.
- Designing and evaluating experiments to measure the impact of growth initiatives.
- Partnering with product, engineering, and business stakeholders to deliver measurable outcomes.
Your Skills & Experience
- Strong commercial experience driving growth metrics within a B2B or enterprise environment.
- Advanced SQL skills and the ability to work confidently with modern data warehouses.
- Experience using analytics, reporting, and data transformation tools.
- Strong understanding of experimentation, measurement, and product analytics.
- Ability to translate complex data into clear business recommendations.
- Experience building automated solutions, workflows, or analytical products.
- Strong written and verbal communication skills.
- Comfortable working independently in a fast-paced environment with changing priorities.