Location: United Kingdom
Salary: £37,338 to £44,962 per annum (pro rata)
Contract: Permanent
Working Pattern: Full-time
Certificate of Sponsorship: Available
Closing Date: 26 May 2025
Overview of the Senior Data Analyst Role at Oxford University Hospitals NHS Foundation Trust
Are you passionate about data analytics and eager to contribute to the UK’s healthcare sector? The Oxford University Hospitals NHS Foundation Trust (OUH) is seeking a Senior Data Analyst to join its progressive Data & Analytics Department. This role offers an exciting opportunity to leverage your data expertise to improve healthcare services, patient outcomes, and operational performance within one of the largest NHS teaching trusts in the country.
As a Senior Data Analyst, you will play a vital role in gathering, processing, analysing, and presenting healthcare data from diverse sources. Your work will inform clinical decisions, managerial planning, and regulatory reporting, ultimately driving improvements in patient care quality and safety. This position offers the chance to collaborate with clinical teams, management, and external stakeholders while being supported by a friendly and skilled analytics team.
Why Work at Oxford University Hospitals NHS Foundation Trust?
Oxford University Hospitals NHS Foundation Trust is renowned for delivering outstanding healthcare and being a centre for medical education, training, and research. The Trust operates across four hospitals: John Radcliffe, Churchill, Nuffield Orthopaedic Centre, and Horton General. OUH’s core mission is “Delivering Compassionate Excellence,” which means prioritizing patients, respecting colleagues, and continually improving services.
You’ll be joining an organisation committed to professional development, with access to the National Competency Framework to enhance your skills and keep pace with evolving data and analytics standards. The Trust’s values—compassion, respect, learning, delivery, improvement, and excellence—ensure a supportive environment focused on high-quality care.
Key Responsibilities of the Senior Data Analyst Role
Data Collection and Validation
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Extract, clean, and integrate data from multiple sources including electronic patient records, clinical systems, audits, national datasets, and surveys.
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Ensure data accuracy, completeness, and consistency through rigorous validation and quality checks.
Data Analysis and Interpretation
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Apply advanced statistical methods such as regression analysis, clustering, forecasting, and data modelling to uncover trends and insights.
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Use data mining and inferential statistics techniques to interpret complex datasets.
Reporting and Presentation
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Develop clear, concise reports, dashboards, and visualisations using tools like Power BI, Tableau, or Excel to present findings effectively.
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Communicate results to clinicians, managers, commissioners, and regulators in an understandable manner, aiding informed decision-making.
Ad Hoc Data Support
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Respond promptly to urgent and routine data requests from internal teams and external partners.
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Maintain confidentiality and data protection compliance at all times.
Data Quality Improvement
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Identify anomalies and data quality issues; recommend and implement corrective actions.
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Support the creation and enforcement of data governance policies, standards, and frameworks to safeguard data integrity.
Team Collaboration and Development
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Mentor junior analysts and participate in cross-team knowledge-sharing sessions.
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Engage in continuous professional development to stay updated with health informatics best practices and new analytical technologies.
Essential Skills and Qualifications
Educational Background
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A degree or equivalent qualification in a relevant field such as data science, statistics, healthcare informatics, or a related discipline.
Technical Proficiency
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Expertise in querying databases with SQL and advanced Microsoft Excel skills.
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Proficient use of statistical programming languages such as R or Python for data analysis.
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Experience with data visualisation tools like Power BI or Tableau to create impactful dashboards and reports.
Analytical Competencies
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Strong understanding of NHS data structures, clinical systems, and health information standards.
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Ability to apply a range of statistical techniques including descriptive statistics, regression analysis, clustering, and forecasting.
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Exceptional problem-solving skills and attention to detail for working with complex healthcare datasets.
Communication and Interpersonal Skills
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Excellent verbal and written communication to translate complex data insights into accessible language.
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Ability to collaborate effectively with multidisciplinary teams and external stakeholders.
Organisational and Time Management
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Capable of prioritising multiple projects, managing deadlines, and delivering high-quality work consistently.
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Commitment to continuous learning and professional development.
Benefits and Professional Development Opportunities
Competitive Salary and Benefits
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Salary range of £37,338 to £44,962 per annum (pro rata) under NHS Agenda for Change Band 6.
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Generous annual leave entitlement, pension scheme, and occupational health support.
Career Growth
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Access to the NHS National Competency Framework for Data & Analytics, enhancing your technical and professional skills.
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Opportunities for training in latest data analytics techniques and health informatics developments.
Supportive Working Environment
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Work in a collaborative, diverse team focused on delivering compassionate healthcare.
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Engage with cutting-edge healthcare projects influencing patient outcomes and operational efficiency.
About Oxford University Hospitals NHS Foundation Trust
The OUH NHS Foundation Trust is one of the UK’s foremost healthcare providers, delivering a comprehensive range of specialist and general clinical services. As a teaching trust, it plays a pivotal role in medical education and research, working closely with the University of Oxford and other partners.
The Trust is committed to “Delivering Compassionate Excellence,” a philosophy emphasizing patient-centred care built on compassion, respect, and continuous improvement. This culture extends to its workforce, fostering an environment where innovation and professional development are encouraged.
Working Location and Practical Details
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Primary Location: OUH Cowley, 3rd Floor, Unipart House Business Centre, Garsington Road, Oxford, OX4 2PG
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Contract Type: Permanent, Full-time
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Reference Number: 321-CORP-7107340-B6-PUB
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Closing Date: 26 May 2025
Who Should Apply?
The ideal candidate is an analytical professional with NHS experience or a keen understanding of health sector data. Whether you are currently working within healthcare analytics or have transferable skills from other sectors, this role offers a meaningful chance to make an impact.
Applicants requiring skilled worker sponsorship to work in the UK are welcome and will be considered. Compliance with DBS checks and NHS data governance requirements is mandatory.
How to Apply
Interested candidates should prepare a compelling CV highlighting relevant experience and qualifications. Be sure to include examples of projects where you have used data to drive improvements in healthcare or other sectors.
Applications can be submitted through the official Oxford University Hospitals NHS Foundation Trust careers portal. Early applications are encouraged given the competitive nature of the role.
Final Thoughts: Why This Role Stands Out
This Senior Data Analyst position at OUH NHS Foundation Trust is more than just a job; it’s a career-defining opportunity to work at the forefront of healthcare analytics within one of the UK’s leading NHS organisations. The combination of impactful work, professional development, and supportive culture makes this role ideal for motivated data professionals aiming to advance their careers in the health sector.
By joining OUH, you will be directly contributing to the delivery of compassionate, high-quality care through data-driven insights — a perfect blend of purpose and professional challenge.
If you’re ready to take the next step in your data analytics career with a respected healthcare institution, apply now and help shape the future of NHS data and patient care.