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    4. Graduate Data Analyst
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    Experian is a global leader in Data and Analytics. We have access to incredibly rich data that can be packaged and delivered to clients in many different ways. But it's Analytics where we unlock the value in data and use it to help people, businesses and society.

    The role

    As a Graduate Data Analyst at Experian, you’ll work in one of our business areas and 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 in order to extract, manipulate and analyse data, helping to make sense of this data by deriving insights and trends. You may also have the chance to develop modelling skills through the application of predictive modelling techniques.

    As you progress, you will 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.

    The variety of exciting work is what makes Experian the place to launch your career! Depending on the business area you join, you may also have the opportunity for job rotations.

    If you choose to join us, you’ll receive industry training, wide-reaching career opportunities and a wealth of support through our Early Careers Network, buddy, line manager & mentor scheme. You’ll also join onto our 2-year structured Graduate Development Programme, which is packed with workshops, short-courses & online material designed to help kick-start your career.

    Our concept is simple. We believe in expanding horizons – it’s what makes Experian a global leader and a Top UK Tech Employer.

    Qualifications

    You’ll have recently achieved or be on track to achieve a minimum 2:2 degree classification. Due to the technical nature of the role, a Bachelor’s degree with a high mathematical content (e.g. Computer Science, Data Science, Mathematics, Statistics, Operations Research (O.R.), Economics, Physical Sciences or Engineering) is encouraged.

    Any knowledge of machine learning, computer programming (eg. SAS, Python or R), statistical techniques or data visualisation tools (eg. Tableau, PowerBI) is valuable but not essential to the role.

    It’s important 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.

    You must be graduating in 2024 or have graduated within the last three years (2021, 2022 or 2023 graduates). 

    Whilst we have adopted a hybrid way of working, this role is based in Nottingham and requires the successful applicant to work in the office at least two days per week. Please only apply if this location would be suitable for you.