Data Analyst - Participant Support Operations & Clinical Operations

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.

You’ll 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 UK’s 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.

In this role, you’ll partner with teams across Participant Support Operations, Clinical Operations and Analytics to solve operational problems using data and evidence. You’ll 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.

You’ll 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 we’re building.

We feelhiring should be transparent and give you arealsensefor what

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Here’swhatyou canexpect:

• Initial chatwith our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have.
• 1stinterviewwith our Analytics…