Data Analyst Participant Support Operations & Clinical Operations
Job Summary
We have an exciting opportunity for a Data Analyst to join our Analytics team using data and operational insight to help improve both the participant experience and the journey of biosamples through our study.
Youll work closely with operational and technical teams to understand performance investigate complex problems and turn data into practical recommendations. From understanding participant contact volumes and service demand to identifying bottlenecks across biosample logistics your analysis will help teams make better decisions improve processes and deliver more efficient and reliable operations.
Despite big improvements in healthcare in our lifetimes today millions of people in the UK still live in poor health as they get older. Diseases like cancer dementia diabetes and heart disease affect the lives of many people in our communities. Our goal is to create a world-leading resource for health research to improve our understanding and spot the patterns of how and why common diseases start so treatments can begin sooner and be more effective.
Our Future Health will be the UKs largest ever health research programme bringing people together to develop new ways to detect prevent and treat diseases. We are a charity supported by the UK Government in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK.
What youll be doing:
In this role youll partner with teams across Participant Support Operations Clinical Operations and Analytics to solve operational problems using data and evidence. Youll develop trusted reporting and metrics investigate issues across multiple systems and help teams move towards more proactive data-informed performance management.
Your key responsibilities will include but not be limited to:
- Analyse participant contact volumes service performance complaints and backlogs using forecasting and capacity planning to help teams understand and manage demand.
- Identify trends and drivers within participant enquiries and complaints turning your findings into actionable recommendations to improve participant experience and operational efficiency.
- Analyse the end-to-end biosample journey across operational logistics and laboratory systems identifying delays discrepancies anomalies and quality issues.
- Use SQL and exploratory analysis to investigate data across multiple systems reconstruct operational workflows and identify the root causes of issues.
- Develop and maintain operational reporting performance metrics and monitoring across participant support and biosample operations.
- Work with Analytics Engineers Data Scientists and operational teams to improve data quality traceability and reporting capability.
- Translate operational questions into structured analytical approaches and communicate findings clearly to both technical and non-technical stakeholders.
- Help teams move from manual and reactive reporting towards proactive performance management and data-informed decision-making.
Youll be part of a wider Analytics function made up of analysts data scientists and data engineers. The team works remotely coming together in person twice a month for collaboration and co-working as well as quarterly strategy days focused on planning problem-solving and longer-term thinking. We also have a regular book club and team demos which give us space to learn together and celebrate what were building.
Hiring Process
We feelhiring should be transparentand give you arealsensefor whatOur Future Healthis canexpect:
- Initial chatwith our Talent team (30 min)to get to know each other discuss the role and answer any questionsyou have.
- 1stinterviewwith ourAnalytics Manager(25min)- this is an opportunity to meet your potential line manager andfor you both toalign on role expectations.
- Technicalinterviewwith2-3members from our Analytics team (60min).This will include ashorttaskyoullneed to prepare in advance of the interview and is designed to get a sense for howyoudapproach the real-world responsibilities of this role.
- Final stage competency interview (60 min)with a small cross-functional panel of your potential new stakeholders. This willfocus on how you collaborate work with stakeholders and navigate ambiguity and challenges in real-world projects.
Requirements
We recognise that candidates may have developed relevant experience through different career paths and welcome applications from those who can demonstrate many though not necessarily all of the skills and experience listed below:
- Strong SQL skills and experience working with relational databases and cloud data platforms such as Snowflake.
- Experience analysing complex operational data from multiple systems and investigating data quality issues discrepancies and operational risks.
- Experience developing and maintaining reporting dashboards datasets or other analytical products used by operational teams.
- An understanding of operational performance analysis which could have been developed within areas such as healthcare logistics customer operations participant services research or another complex operational environment.
- Familiarity with data modelling concepts and experience collaborating with Analytics Engineering or Data Engineering teams.
- Strong problem-solving skills with the ability to investigate root causes and turn analysis into practical recommendations.
- The ability to communicate complex analytical findings clearly and build effective relationships with both operational and technical stakeholders.
- An organised and adaptable approach with the ability to manage competing priorities while maintaining a high level of accuracy and attention to data quality.
- Knowledge of forecasting capacity planning performance measurement or operational analytics methodologies would be advantageous.
- An understanding of statistical concepts and performance monitoring techniques such as variation analysis or statistical process control would be beneficial.
- Experience using Python or R for data manipulation analysis automation or exploratory investigation would also be beneficial.
Benefits
- From 53000 annum basic salary.
- Generous Pension Scheme We invest in your future with employer contributions of up to 12%.
- 30 Days Holiday Bank Holidays Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you.
- Enhanced Parental Leave Supporting you during lifes biggest moments.
- Cycle to Work Scheme Save 2539% on a new bike and accessories through salary sacrifice.
- Home & Tech Savings Get up to 8% off on IKEA and Currys products spreading the cost over 12 months through salary sacrifice.
- 1000 Employee Referral Bonus Know someone amazing Get rewarded for bringing them on board!
- Wellbeing Support Access to Mental Health First Aiders plus 24/7 online GP services and an Employee Assistance Programme for you and your family.
- A Great Place to Work We have a lovely Central London office in Holborn and offer flexible and remote working arrangements.
Join us lets prevent disease together.
Closing date: 12 October 2026 at 5:00 pm
We may close this vacancy earlier than the advertised closing date if we receive a high volume of applications so we encourage you to apply as soon as possible.
At Our Future Health we recognise the importance of having a diverse workforce and ensuring that all candidates regardless of their 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 do require any reasonable adjustments please email us at .
Required Experience:
IC
About Company
Our Future Health will be the UK’s largest-ever health research programme, designed to help people live healthier lives for longer through the discovery and testing of more effective approaches to prevention, earlier detection and treatment of diseases. We will invite 5 million peopl ... View more