At a Glance
- Tasks: Analyse data and develop models to solve real business challenges.
- Company: Join Experian, a global leader in data and technology.
- Benefits: Enjoy hybrid working, competitive salary, and a comprehensive benefits package.
- Other info: Permanent role with a structured 2-year Early Careers Development Programme.
- Why this job: Kick-start your career with hands-on experience in data analytics and AI tools.
- Qualifications: 2:2 degree in a maths-heavy subject; programming knowledge is a plus.
The predicted salary is between 28800 - 48000 £ per year.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.
As a Graduate Data Analyst, you’ll be responsible (under guidance) for data analysis and model development to address a range of business problems. You’ll achieve this by developing your programming skills in commonly used industry-wide languages such as Python, R, SQL or Scala to extract, manipulate and analyse data to find insights and trends. You may also have the chance to develop modelling skills through applying predictive modelling techniques as well as leveraging the latest AI tooling to explore and understand data trends.
As you progress, you'll rotate around different areas to broaden your knowledge of our business and increase your understanding of data governance, data operations processes, data intelligence, implementation and standardisation or automation of analytic procedures.
Our Graduate roles are permanent opportunities, and you’ll take part in our 2 year structured Early Careers Development Programme which is packed with workshops, short-courses and online material designed to help kick-start your career.
Qualifications- Candidates must be eligible to work in the UK for the duration of the graduate programme: this role is not capable of visa sponsorship.
- A minimum 2:2 degree classification in a Bachelor's degree with a high mathematical content (e.g. Computer Science, Data Science, Mathematics, Statistics, Operations Research, Economics, Physical Sciences or Engineering).
- To have graduated within the last three years (2024, 2025 or 2026 graduates).
- Any knowledge of machine learning, computer programming (e.g. SAS, Python or R), statistical techniques or data visualisation tools (e.g. Tableau, PowerBI) is desirable but not essential to the role.
- It’s important that you’re the type of character who isn’t going to give up when you hit a complex problem: proactivity and curiosity will be your best friends in this role.
- This role is based in Nottingham and requires you to work in the office at least twice weekly. Please only apply if this would be a suitable location for you.
- Application Closing Date: Monday 26th January. Apply early! Roles may close sooner than expected due to high interest.
- Start Date: September 2026
- Starting Salary: £32,000
- For this role we aim to hold online Assessment Centres on week commencing 23rd February* (*Subject to change)
- Hybrid working
- Great compensation package and discretionary bonus plan
- Core benefits include pension, Bupa healthcare, sharesave scheme and more!
- 25 days annual leave with 8
Graduate Data Analyst- Nottingham employer: TargetJobs UK
Experian is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Nottingham. With a commitment to employee growth through a structured Early Careers Development Programme, you will have access to workshops and resources that empower you to excel in data analytics. Enjoy a competitive salary, hybrid working options, and a comprehensive benefits package, all while being part of a global leader in data and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst- Nottingham
✨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 TargetJobs UK!
✨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 Graduate Data Analyst- Nottingham at TargetJobs UK.
✨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 TargetJobs UK.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Analyst- Nottingham at TargetJobs UK, 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 Graduate Data Analyst- Nottingham
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 TargetJobs UK, 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 TargetJobs UK. 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 TargetJobs UK
✨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 TargetJobs UK!
✨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.
