National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Data Analyst, Improvement Analytics Unit (IAU)

Onyx-Conseil
London
1 week ago
Create job alert

Salary:Up to £65,778 per annum plus excellent benefits.


Contract:Permanent


Hours Per week:37.5 hours per week, you will be required to work in-person a minimum of two days per week in line with our hybrid working model.


Our Foundation


We are an independent charitable organisation working to build a healthier UK. Health is our most precious asset. Good health enables us to live happy, fulfilling lives, fuels our prosperity, and helps build a stronger society.Yet good health remains out of reach for too many people in the UK and services are struggling to provide access to timely, high-quality care. It doesn't have to be like this.


Our mission is to help build a healthier UK by:



  1. Improving people's health and reducing inequalities
  2. Supporting radical innovation and improvement in health and care services
  3. Providing evidence and analysis to improve health and care policy.


We aim for excellence across our work and will achieve this by producing research and analysis, shaping policy and practice, building skills, knowledge, and capacity, and acting as a catalyst for change.Everyone has a stake and a part to play in improving our health. By working together, we can build a healthier UK.


About the role


As a Principal Data Analyst in the Improvement Analytics Unit (IAU), you will collaborate with Senior Analytical Managers and Assistant Directors to develop and deliver an ambitious programme of work evaluating major health initiatives. You will lead IAU projects, support team members, and build relationships with key stakeholders at both local and national levels.


Initially the postholder will work predominantly within our growing technology-enabled change (TEC) evaluation programme. The TEC programme involves the causal evaluation of interventions or pathway changes in health and care enabled by innovative technology. The postholder may also work on projects on other programmes of work, including primary care and health system performance. Ideally the postholder will have experience of evaluations of new technologies or technology-enabled service change in health or care.


Managing multiple projects, you will identify, design, and take responsibility for the execution of new projects in collaboration with both internal and external stakeholders. You will lead and mentor Senior Data Analysts and Data Analysts and support their professional development. You will ensure all analyses and reports are of the highest quality and effectively communicate findings to diverse audiences. You will provide expert advice on causal analytical methods and study design, particularly relating to technology-enabled change.


How to apply


Our priority is to find the right individual for each opportunity. We are dedicated to building an inclusive workplace that values diversity and invite you to find out more. If you would like to apply, please submit your CV, and using no more than 900 words answer the following application questions:



  1. By the time when you managed multiple projects simultaneously how did you prioritise task and ensure deadlines were met?
  2. Give an example of how you have provided leadership and mentorship to a team of analysts, to ensure high quality analysis and reporting
  3. Provide an example of a project where you collaborated with both internal and external stakeholders, how did you ensure effective communication or research findings to diverse audiences including policymakers and healthcare professionals?
  4. Tell us about your experience using statistical methods, including any casual inference methods?


Our commitment to Inclusion and Diversity


We are committed to an inclusive hiring process, where every candidate has the chance to showcase their unique skills and experience in an accessible, and supported environment, to ensure that we can make the best appointment for each job on merit. We welcome applicants from all backgrounds and encourage those from underrepresented groups in this field to apply to us. We have identified three diverse groups, in particular, we want to achieve a better balance across our organisation between men and women, increase representation of people from black and ethnic minority backgrounds and recruit more people with disabilities.


As part of this commitment, we particularly welcome applications from these groups. Apply to join our team and let's work towards building a diverse and inclusive workplace together. Help us work together to make the recruitment process and potential future employment more accessible and enjoyable for you.


Closing date:July 2, 23:00


Interview date:July 17 or July 22, 2025


*Interviews will take place in-person.


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Data Analyst - Improvement Analytics Unit (IAU)

Principal Data Analyst, Improvement Analytics Unit (IAU)

Principal Data Analyst

Principal Data Analyst

Principal Data Analyst

Data Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.