Senior Analytics Engineer, SQL, Python, Snowflake

Senior Analytics Engineer, SQL, Python, Snowflake

A Senior Analytics Engineer opportunity has opened up with a fast-growing, mission-driven healthtech company operating at the intersection of clinical innovation and data. If you're someone who thrives on building dependable data products and shaping the analytics function of an organisation doing genuinely meaningful work, could this be the role you've been looking for?

The Role

The Senior Analytics Engineer will take ownership of a broad analytics remit, spanning data warehouse development, pipeline reliability, business intelligence, and customer insight. You'll design and maintain transformation models, define key company metrics, and create dashboards and reports that help both internal teams and customers make smarter use of data. Day-to-day, you'll monitor and troubleshoot pipeline and data quality issues, support commercial systems including CRM platforms and workflow tooling, and partner with stakeholders across Sales, Marketing, and Operations to translate business questions into clear, validated analysis. There's real scope here to influence how the analytics platform evolves and to help set engineering standards as the team grows.

The Company

This is a healthtech business with a strong research heritage and a growing presence in both domestic and international markets. The company develops software used by healthcare providers to improve clinical awareness and patient outcomes, and it operates with a genuinely collaborative culture where individual contributors have real influence over the direction of the product and the team. Working arrangements are flexible and predominantly remote, with regular in-person sessions to support collaboration and planning.

What experience does the Senior Analytics Engineer need?

• Substantial experience in a data-focused role, including time operating at a senior or lead level, with strong SQL skills and a solid track record of building well-structured analytical models
• Experience with cloud data warehousing (Snowflake, BigQuery, or equivalent), a strong grasp of data governance and platform security, and the ability to lead technically and mentor others within a growing engineering function
• Hands-on experience with dbt or comparable modern transformation frameworks, plus Python applied to data integration, automation, or pipeline work, alongside experience managing production pipelines and CI/CD processes
• A demonstrable ability to work closely with stakeholders, turning business questions into clear dashboards, reports, and validated analysis using tools such as Tableau, Streamlit, or similar BI platforms
• Administration, integration, or workflow improvement across different commercial platforms, including CRM systems

Benefits

• 25 days annual leave plus bank holidays, with the option to buy additional days, enhanced parental leave, private medical insurance after probation, and a 24/7 Employee Assistance Programme
• Flexible hybrid working arrangement, with the team coming together in person a couple of times each month
• Personal development budget, three paid development days annually, and a working culture that actively encourages engineers to broaden their skills over time
• Life assurance, employer pension contributions, electric car salary sacrifice scheme, charity matching, and two dedicated wellbeing days per year

So What's Next?

If you are a Senior Analytics Engineer and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further.

Senior Analytics Engineer

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