At a Glance
- Tasks: Transform complex data into actionable insights to improve health and care outcomes.
- Company: Join NICE, a leading organisation dedicated to enhancing health and wellbeing.
- Benefits: Enjoy flexible working, generous leave, and a rewarding pension scheme.
- Other info: Be part of a supportive community with excellent career growth opportunities.
- Why this job: Make a real difference in society while developing your analytical skills.
- Qualifications: Experience in data analysis and strong communication skills are essential.
The predicted salary is between 30000 - 40000 £ per year.
Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision‑making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things.
The Architecture & Data team sits at the heart of NICE’s digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high‑quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes.
We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment.
As a Business Data Analyst in NICE’s Digital, Information & Technology Directorate (Architecture & Data team), you’ll bridge business needs and data‑driven solutions. You’ll work closely with stakeholders and multi-disciplinary delivery teams to turn complex questions into clear requirements, high‑quality analysis, and actionable insight that support better decisions, service improvements, and digital transformation.
- Analyse and interpret complex datasets to identify trends, risks and opportunities, translating findings into clear recommendations.
- Build and maintain dashboards and reports (e.g., Power BI/Tableau) to support operational and strategic decision‑making.
- Work with stakeholders to define data requirements, KPIs and success measures, and translate these into user stories/use cases.
- Investigate and clearly define problems (including root‑cause analysis), assessing options, impacts, and benefits.
- Facilitate workshops and stakeholder engagement, communicating confidently with both technical teams and non‑technical audiences.
- Support process improvement and effective change of delivery, including documentation, service acceptance/testing, and adoption.
- Promote good data governance and quality practices, working in line with data protection and organisational policies.
- Work autonomously in a changing environment, balancing priorities, and contributing to continuous professional development.
NICE offer:
- Secure your future with one of the most rewarding pension schemes in the UK.
- Enjoy a healthy work‑life balance with options like remote working, compressed hours and flexible start/finish times.
- Save on shopping, dining and more with a Blue Light Card.
- Start with 27 days’ annual leave plus bank holidays.
- Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud.
- Grow your career with personalised learning and development opportunities.
If you feel this is the type of environment you will enjoy working in, apply today.
To be considered for this role, you should be able to particularly demonstrate the person specification criteria in the job advert in your application. However, applicants should be able to demonstrate all essential criteria through the entirety of the recruitment process to be considered for the job.
Business Data Analyst | NICE - The National Institute for Health and Care Excellence in Manchester employer: Career Choices Dewis Gyrfa Ltd
At NICE, we are dedicated to improving health and wellbeing through evidence-based decision-making, making us an exceptional employer for those seeking meaningful work. Our Manchester location offers a supportive and inclusive environment, with flexible working options, a generous pension scheme, and tailored development opportunities that empower employees to grow their careers while contributing to impactful health outcomes.
Contact Details:
Career Choices Dewis Gyrfa Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst | NICE - The National Institute for Health and Care Excellence in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Career Choices Dewis Gyrfa Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Business Data Analyst | NICE - The National Institute for Health and Care Excellence at Career Choices Dewis Gyrfa Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Career Choices Dewis Gyrfa Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Business Data Analyst | NICE - The National Institute for Health and Care Excellence at Career Choices Dewis Gyrfa Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Business Data Analyst | NICE - The National Institute for Health and Care Excellence in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Career Choices Dewis Gyrfa Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Career Choices Dewis Gyrfa Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Career Choices Dewis Gyrfa Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Career Choices Dewis Gyrfa Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
