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- Tasks: Build high-quality data models and support analytics for health improvement.
- Company: Join Our Future Health, the world's largest health research programme.
- Benefits: Competitive salary, generous pension, 30 days holiday, and well-being support.
- Why this job: Make a real impact on health outcomes while working with cutting-edge data technology.
- Qualifications: Strong experience in analytics engineering and excellent SQL skills required.
- Other info: Flexible hybrid working in a collaborative London office.
The predicted salary is between 65000 - 65000 ÂŁ per year.
Our Future Health is an ambitious collaboration between the public, charity, and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection, and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection and the evaluation of new diagnostic tools to identify and treat diseases early when outcomes are usually better. With over 2.5M volunteers across the UK, we’re now the world’s biggest health research programme of its kind, and our volunteer group is also more diverse than other similar programmes. Technology and data are central to our mission.
Why join?
- Work with large‑scale, real‑world health data
- Build trusted, reusable data products used across science and business
- Help develop data quality, testing, and observability from the ground up
- Enable self‑serve and AI‑powered analytics for non‑technical users
- Join at an early stage of team growth with real influence; even at mid‑level you’ll lead initiatives and work directly with stakeholders
- Mission‑led: your work contributes to improving health outcomes at scale
Responsibilities
- Build high‑quality data models
- Design and maintain scalable dbt models in Snowflake (data marts, metrics, reusable datasets)
- Apply and evolve consistent modelling standards
- Ensure data models are well documented and appropriate metadata and observability are in place
- Partner with business and science teams to enable great analytics
- Coach analysts, data scientists, and researchers on best practices (modelling, testing, documentation, data quality)
- Support teams to own and safely contribute to shared data models
- Turn exploratory analysis into reliable, production‑ready datasets
- Improve data quality, documentation, and reproducibility in workflows
- Implement automated testing and monitoring
- Work with platform engineers to resolve issues and optimise performance
- Proactively optimise and improve query performance and pipelines
- Build and maintain semantic layers in Snowflake and Omni
- Provide clear documentation and guidance for governed self‑serve use
- Support ingestion workflows, data contracts, and quality standards
- Contribute to performance, orchestration, and CI/CD improvements
Location: We're London‑based (Holborn) and work on a flexible hybrid basis (typically weekly with a team day every 2 weeks). We’d like to prioritise candidates who can reasonably commute and benefit from in‑person collaboration.
Requirements
Essential- Strong experience in analytics engineering or a closely related field
- Excellent business acumen; able to translate problems into clear metrics and data models
- Very experienced in SQL and analytics data modelling
- Experience with Python for data ingestion and automation
- Familiarity with Snowflake or similar data warehouses
- Hands‑on experience with dbt in production environments
- Understanding of metrics, KPIs, and analytical design patterns
- Experience partnering with analysts and data scientists
- Ability to coach and support others, raising analytics capability across the organisation
- Clear, collaborative communication skills
- Experience enabling domain teams to own and maintain their analytics models
- Exposure to product analytics tools (e.g., Mixpanel)
- Interest in platform‑level topics such as performance, orchestration, or CI/CD
Benefits
- Competitive base salary from ÂŁ65,000
- Generous Pension Scheme – employer contributions of up to 12%
- 30 days holiday pro rata + bank holidays – flexible holiday allowance
- Enhanced parental leave – support during life’s biggest moments
- Cycle to Work Scheme – save 25‑39% on a new bike and accessories through salary sacrifice
- Home & tech savings – up to 8% off on IKEA and Currys products, spread over 12 months through salary sacrifice
- EV scheme – save up to 40% on a brand new electric vehicle all‑inclusive package through salary sacrifice
- ÂŁ1,000 employee referral bonus
- Well‑being support – access to mental health first aiders, 24/7 online GP services, and an employee assistance programme for you and your family
- A great place to work – central London office in Holborn and flexible or remote working arrangements
Join us – let's prevent disease together. We recommend you apply as soon as possible. Occasionally, due to high volumes of applications, we may need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long‑term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk.
Analytics Engineer employer: Our Future Health UK
Contact Detail:
Our Future Health UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use real-world examples from your experience to demonstrate how you can contribute to the team. Remember, confidence is key!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email expressing your continued interest can set you apart from other candidates and show your enthusiasm for the role.
✨Tip Number 4
Check out our website for the latest job openings and apply directly. We love seeing candidates who are proactive and genuinely interested in joining our mission to improve health outcomes!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Analytics Engineer role. Highlight your experience with SQL, dbt, and data modelling, and show how your skills align with our mission at StudySmarter.
Showcase Your Projects: Include examples of past projects where you've built data models or improved data quality. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: We recommend applying directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status along the way!
How to prepare for a job interview at Our Future Health UK
✨Know Your Data Models
Make sure you understand the data models relevant to the role. Brush up on your SQL skills and be ready to discuss how you would design and maintain scalable dbt models in Snowflake. Being able to articulate your thought process around data modelling will impress the interviewers.
✨Showcase Your Business Acumen
Prepare examples of how you've translated complex problems into clear metrics and data models in previous roles. This is crucial for demonstrating your ability to partner with business and science teams effectively, so think of specific instances where your insights led to better analytics.
✨Be Ready to Coach
Since the role involves coaching analysts and data scientists, come prepared with strategies or experiences where you've helped others improve their analytics capabilities. Highlight your collaborative communication skills and how you've raised the bar for data quality and documentation in past projects.
✨Understand the Bigger Picture
Familiarise yourself with Our Future Health's mission and how technology and data play a central role in it. Be ready to discuss how your work as an Analytics Engineer can contribute to improving health outcomes at scale. Showing that you align with their mission will set you apart from other candidates.