Senior Statistical Analyst in Newport

Senior Statistical Analyst in Newport

Newport Full-Time 46743 - 46743 £ / year (est.) Home office (partial)
Research England

At a Glance

  • Tasks: Design and deliver analytical tools for strategic research funding allocation.
  • Company: Join Research England, a key player in the UK's research community.
  • Benefits: Competitive salary, full-time hours, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and continuous improvement.
  • Why this job: Make a real impact on higher education funding while working with top analysts.
  • Qualifications: Experience in coding, data analysis, and quality assurance processes required.

The predicted salary is between 46743 - 46743 £ per year.

Research England

Salary: £46,743 per annum

Contract Type: Fixed Term until 31 December 2030

Hours: Full Time (Part Time min. 0.8 FTE)

Location: Westward House, Lime Kiln Close, Stoke Gifford, Bristol, BS34 8SR

Closing Date: 16th August 2026

Are you looking for a new challenge? An opportunity to work on a major, high-profile project in a close-knit team and a fast-paced environment? Do you want to use your knowledge and skills in an agile way across a broad range of focus areas, learning new things and innovating along the way? Do you want to work with some of the most highly respected people across the UK’s research community? Then this may be the opportunity for you!

About the Role

As a Senior Statistical Analyst at Research England working across the Research and Analysis Directorates, you will be in a key position to design and deliver analytical tools and processes that directly support the allocation of £2 billion of strategic institutional research funding (SIRF) to higher education providers in England. Working primarily with key analysts and the Research Data & Evidence team, you will be responsible for managing work areas from the design and development of funding algorithms and quality assurance processes to delivery of new funding mechanisms and be committed to innovation and continuous improvement.

A sound understanding of an analytical product development cycle is crucial for this role, including significant experience of coding, analysing data (including applied quantitative methods), and presenting findings. Equally important is experience of quality assurance processes, and an awareness of how these minimise errors in analytical outputs. You will be well-organised and self-motivated, ideally with a background in statistical or financial modelling. Capable of working to your own initiative, you will contribute substantially to the development and delivery of projects and be a confident communicator with people at all levels.

Responsibilities

  • To support the algorithm-driven allocation of research funds to higher education providers by developing a sound knowledge of the Higher Education sector data used by the analyst team to underpin SIRF funding allocations.
  • Developing a sound knowledge of the algorithm-driven (also referred to as formula-based) research funding methods used by Research England and collaborating with colleagues to develop, maintain and implement funding models.
  • Proactively engaging early and often within and across teams to share analytical results, and to discuss findings, taking data limitations into account.

Senior Statistical Analyst in Newport employer: Research England

Research England is an exceptional employer, offering a dynamic work environment in the heart of Bristol. With a strong commitment to employee development and a hybrid working model, we foster a culture of collaboration and innovation, ensuring that our team members can thrive both personally and professionally. Join us to be part of meaningful initiatives that shape the future of research excellence in the UK.

Research England

Contact Details:

Research England Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Statistical Analyst in Newport

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 Research England!

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 Senior Statistical Analyst at Research England.

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 Research England.

Apply Directly through Our Website

When you find a suitable opening like Senior Statistical Analyst at Research England, 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 Senior Statistical Analyst in Newport

Statistical Analysis
Data Analysis
Quantitative Methods
Coding
Analytical Product Development
Quality Assurance Processes
Statistical Modelling

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 Research England, 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 Research England. 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 Research England

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 Research England!

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.