Senior Analytics Engineer

• Take ownership of analytics engineering within a growing SaaS business.
• Build reliable data foundations that support product and commercial decisions.
• Work closely with leadership, product and engineering to solve business problems.
• Join a small data team with scope to influence priorities and ways of working.

Our client is looking for a hands-on Analytics Engineer at senior to lead level. This is an opportunity for someone who enjoys building reliable data models, understanding business needs and seeing their work make a measurable difference.

The Role

Reporting to the Head of Data, you’ll work across product, engineering, finance and commercial teams to identify priorities and build practical solutions.

Your responsibilities will include:

• Building and maintaining reliable data models and infrastructure.
• Developing data solutions that support product performance and commercial reporting.
• Translating stakeholder questions into clear requirements and useful insights.
• Improving data quality, consistency and accessibility across the business.
• Prioritising work based on business value and measuring its impact.
• Helping teams use data confidently in their day-to-day decisions.

About You

We’re looking for someone who combines strong technical skills with commercial awareness and confidence working with stakeholders.

You’ll bring:

• Strong SQL, data modelling and Python skills.
• Experience working with a modern cloud data warehouse.
• Experience delivering data solutions in a SaaS environment.
• The ability to turn ambiguous business problems into practical technical solutions.
• Confidence explaining complex topics simply and challenging assumptions.
• A track record of prioritising work and demonstrating the impact of what you’ve delivered.

Experience in a startup or scale-up, or working with product and revenue data, would be beneficial.

Why Join?

You’ll join a small team where your work will directly influence product and commercial decisions. With a modern data stack and scope to shape the approach, this role offers ownership for someone who wants to stay hands-on.