The perfect data analyst CV takes a professional tone and uses business and industry terms that recruiters are looking for. It provides key information on your career, using concrete facts and figures to highlight the positive results you’ve achieved. It also references key skills, using words like ‘information’, ‘workflow’, and ‘data’.


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    Create a top-notch data analyst CV

    • Ensure keywords are included

      When writing a CV for data analyst, you might not realise it, but CVs include their fair share of data analysis. CV scanning software filters CVs before recruiters even read them. To pass this hurdle, add plenty of keywords to your data analyst CV based on the job description.

    • Back it up with data

      As a data analyst, you’ll know better than anyone how important numbers are. Make sure you include plenty of figures relating to your jobs, such as the number of KPIs you worked with, or an increase in sales you contributed to.

    • Organise your CV

      While you might be an expert at interpreting vast amounts of raw data, recruiters are not. Organise your data analyst CV into clear, concise sections such as experience, essential skills, and qualifications, so recruiters can skim read and pick out the information they need.

    What skills to include in your data analyst CV?

    Necessary skills for your data analyst CV

    • Data entry
    • JavaScript and Python expertise
    • Database development
    • Data conversion and migration

    Nice-to-haves that will help you stand out

    • Auditing
    • Information gathering
    • Problem-solving
    • Attention to detail

    Give a personal touch to your data analyst CV

    A personal statement (also known as a summary) is a brief section that appears at the beginning of your data analyst CV. With just 3 or 4 sentences, you need to be able to outline the key qualities that make you stand out from other candidates.

    A statement should give a concise overview of your current work situation and short-term career goals. Explain what you could bring to the new job and why your experience makes you a good fit for the position.

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    Frequently asked questions about a data analyst CV

    What qualifications do I need to be a data analyst?

    You don’t need formal qualifications to be a data analyst. However, many employers prefer candidates with degrees in subjects like:

    • Mathematics.
    • Computer Science.
    • Business Information Systems.
    • Statistics.

    Can I be a data analyst without a degree?

    You can be a data analyst without a degree, though it may take you longer to progress. When you build your CV, focus on demonstrating skill in and understanding of the following:

    • Data conversion and migration.
    • How to carry out an audit.
    • The use of technologies like SQL, JavaScript, SAP PowerBuilder, and RapidMiner.

    Whatever your experience, we can help you to build a perfect CV with our CV builder. Our templates, pre-written text and advice mean it’s quicker and easier than going it alone. Start now!

    How long should my data analyst CV be?

    It is best practice in the UK to create a one-page, maximum two-page long CV. CVs over two pages are considered long, and over three pages of CVs start becoming difficult for a recruiter to absorb fully. Evaluate the way you use bullet points and cut out any fluffy language or filler words, making your text as punchy and data-focused as possible.

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    Data analyst CV

    We make creating a data analyst CV quick and easy. Take a look at our top-rated templates and CV examples, and then build your custom CV using our proven builder. Whether you’re a seasoned professional or looking for your first role as a data analyst, here you’ll find everything you need to get started today.

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