Senior Analytics Engineer

Corriculo; Southmoor; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

25 days annual leave

Private medical insurance

Life assurance

Wellbeing days

Pension contributions

Electric car salary sacrifice

Charity matching

EAP (Employee Assistance Program)

Development budget

Dedicated development days

Job summary

Corriculo, a UK-based healthtech company, is hiring a Senior Analytics Engineer to own a broad analytics remit across data warehouse development, pipelines, BI, and customer insight. You will design transformation models, define key metrics, and build dashboards that empower internal teams and customers.

You'll monitor data quality, manage production pipelines, and collaborate with Sales, Marketing, and Operations to translate business questions into validated analyses using tools like Tableau

Qualifications

• Substantial experience in a data-focused role with SQL proficiency.
• Experience with cloud data warehousing and data governance and security.
• Hands-on with dbt or similar transformation frameworks and Python for data tasks.
• Ability to translate business questions into dashboards/reports using BI tools.
• Experience delivering production data pipelines and CI/CD processes.

Responsibilities

• Own analytics remit including data warehouse development, pipelines, BI and customer insight.
• Design and maintain transformation models, define key metrics, and create dashboards/reports for internal and external users.
• Monitor pipelines, troubleshoot data quality, and support CRM/workflow tooling.
• Collaborate with Sales, Marketing and Operations to translate business questions into validated analyses.
• Help evolve the analytics platform and set engineering standards as the team grows.

Skills

SQL

Python

Data modeling

Leadership/mentoring

Stakeholder engagement

Tools

Snowflake

dbt

Tableau

Streamlit

BigQuery

CRM systems

Job description

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 UK-based 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
• 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