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- Tasks: Build trusted data models and design core business metrics for impactful analytics.
- Company: Join CMR Surgical, a pioneering company transforming minimal access surgery.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare with innovative data solutions.
- Qualifications: Experience in SQL, Python, and analytical workflows required.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
The predicted salary is between 50000 - 65000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.
About CMR Surgical
At CMR Surgical, we're revolutionising the future of minimal access surgery with Versius, our next-generation surgical robotic system. We're growing fast, and we're on a mission to transform how surgery is delivered globally - for the benefit of patients, clinicians, and healthcare systems.
Our values - Ambitious, Humble, People-Focused, and Fair & Responsible - define our approach to innovation, partnership, and growth. If you believe in making a meaningful difference in healthcare and want to be part of a purpose-driven company with bold ambitions, now is the time to join us.
CMR is an exciting and evolving company to be joining right now. Our commitment to our goal of building a world-class medical devices company is underpinned by the ground-breaking innovation of our next generation of surgical robots and a diverse team of talented and supportive individuals. We're breaking new ground which makes working here exciting, it provides autonomy, opportunity and makes the things you do visible. Come and join us and see what you're capable of.
About the Role
We are looking for an Analytics Engineer to help build trusted, decision-grade data products across CMR Surgical. This role focuses on analytical data modelling, metric design, and repeatable analysis within our Databricks Lakehouse, with dashboards and reporting tools acting as downstream interfaces rather than the primary deliverable.
You will play a key role in moving us from ad hoc, tool-led reporting to a consistent, well-modelled analytics layer that stakeholders can rely on. The role combines analytical data modelling, SQL and Python-based analysis, and close collaboration with product owners and stakeholders. The role also involves performing exploratory and investigative analysis. This includes using SQL and Python notebooks to explore data, test hypotheses, and answer emerging business questions before those insights are operationalised into reusable metrics or data models. This is a hybrid role with a minimum of 1 day per week in our Cambridge office.
Responsibilities
- Build and maintain trusted analytical data models (facts, dimensions, star schemas, semantic layers) within our Databricks Lakehouse
- Design, validate, and own core business metrics, to ensure consistency and correctness across business analytics
- Develop reusable analytical datasets and assets to support repeatable analysis and decision-making
- Perform ad-hoc exploratory analysis to answer business questions and support key decisions
- Translate exploratory analysis into scalable, reusable analytics assets
- Support the transition from tool-led reporting to a scalable analytics layer by improving data models, metric definitions, and analytical workflows
- Maintain and progressively rationalise the existing Power BI estate while helping shift reporting onto well-modelled data products
- Partner with data engineering and product owners to translate business questions into scalable, reusable analytics assets
We'd expect you to be willing to turn your hand to anything within the data team's remit that helps the team deliver its objectives.
About You
To be successful in this role, you'll need to have/be:
- Pragmatic, delivery-focused mindset with a bias for clarity, simplicity, and maintainability
- Strong experience in analytical workflows, data modelling and metric design
- Proficient in SQL and Python
- Practical experience of exploratory analysis, data investigation and hypothesis testing
- Experience with modern analytics platforms such as Databricks, Snowflake, or similar Lakehouse/Warehouse environments
- Familiarity with BI and reporting tools with a clear understanding that dashboards sit on top of well-modelled data
- Experience working with stakeholders and product owners to define requirements and deliver decision-ready outputs
- Familiarity with the use of AI tools to help achieve the above aims
Interested? We'd love to hear from you! This role requires candidates to have eligibility to work within the UK. Strictly no agencies.
Analytics Engineer: Lakehouse Data Models & Metrics in Cambridge employer: Cmr Surgical
Contact Detail:
Cmr Surgical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Lakehouse Data Models & Metrics in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at CMR Surgical. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or examples of your work with SQL and Python, bring them along to interviews. It’s a great way to demonstrate your analytical prowess and make a lasting impression.
✨Tip Number 3
Prepare for those tricky questions! Think about how you’d tackle real-world problems using data models and metrics. Practising your responses will help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at CMR Surgical.
We think you need these skills to ace Analytics Engineer: Lakehouse Data Models & Metrics in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Analytics Engineer role. Highlight your experience in SQL, Python, and data modelling to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about transforming healthcare through data. Share specific examples of how you've tackled similar challenges in the past.
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Include examples of your analytical workflows or projects where you’ve designed metrics or data models.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Cmr Surgical
✨Know Your Data Models
Make sure you brush up on your knowledge of analytical data models, especially star schemas and semantic layers. Be ready to discuss how you've built or maintained these in the past, as this will show your practical experience aligns with what CMR Surgical is looking for.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your proficiency in SQL and Python during the interview. You might be asked to solve a problem or analyse a dataset on the spot, so practice common queries and coding challenges beforehand to feel confident.
✨Understand the Business Context
Familiarise yourself with CMR Surgical's mission and values. Think about how your role as an Analytics Engineer can contribute to their goal of revolutionising minimal access surgery. This will help you articulate your passion for the role and how you can make a meaningful impact.
✨Prepare for Stakeholder Interaction
Since the role involves close collaboration with product owners and stakeholders, think of examples where you've successfully translated business questions into analytical assets. Be ready to discuss how you approach stakeholder communication and ensure clarity in your deliverables.