Data Analyst Entry Level CV Examples & Guide for 2025

One CV challenge you may encounter as an entry-level data analyst is effectively showcasing relevant skills and experiences in a way that stands out to potential employers. Our guide provides tailored advice and practical examples to help you accentuate your analytical proficiencies and academic achievements, ensuring your application makes a memorable impression.

Structuring your data analyst entry level CV layout: four factors to keep in mind

There are plenty of best practices out there for your CV layout and design. At the end of the day, a clear format and concise CV message should be your top priority. Use your CV design to enhance separate sections, bringing them to the forefront of recruiters' attention. At the same time, you can write content that:

• Follows the reverse chronological order in the experience section by first listing your most recent jobs;
• Incorporates your contact information in the header, but do skip out on the CV photo for roles in the UK;
• Is spotlighted in the most important sections of your CV, e.g. the summary or objective, experience, education, etc. to show just how you meet the job requirements;
• Is no longer than two-pages. Often, the one-page format can be optimal for your data analyst entry level CV.

Before submitting your CV, you may wonder whether to export it in Doc or PDF. With the PDF format, your information and layout stay intact. This is quite useful when your CV is assessed by the Applicant Tracker System (or the ATS) . The ATS is a software that scans your profile for all relevant information and can easily understand latest study on the ATS , which looks at your CV columns, design, and so much more.

Our checklist for the must-have information in your data analyst entry level CV header

Right at the very top of your data analyst entry level CV is where you'd find the header section or the space for your contact details, headline, and professional photo. Wondering how to present your the name of the city you live in and the country abbreviation as your address;

• are tailored to the role you're applying for by integrating key job skills and requirements;
• showcase what your unique value is, most often in the form of your most noteworthy accomplishment;
• select your relevant qualifications, skills, or current role to pass the Applicant Tracker System (ATS) assessment.
Still not sure how to write your CV headline? Our examples below showcase best practices on creating effective headlines:

Your data analyst entry level CV introduction: selecting between a summary and an objective

data analyst entry level candidates often wonder how to start writing their resumes. More specifically, how exactly can they use their opening statements to build a connection with recruiters, showcase their relevant skills, and spotlight job alignment. A tricky situation, we know. When crafting you data analyst entry level CV select between:

• A summary - to show an overview of your career so far, including your most significant achievements.
• An objective - to show a conscise overview of your career dreams and aspirations.

Find out more examples and ultimately, decide which type of opening statement will fit your profile in the next section of our guide:

How to meet job requirements with your data analyst entry level CV experience

We've now reached the essence of your actual CV - your experience section. This is the space where you can list your career roles and on-the-job successes. Many candidates tend to underestimate just how much time and effort they should put into writing this CV section. Your experience shouldn't be a random list of your responsibilities, but instead:

• Match the job description with your skills, values, and accomplishments;
• Start each bullet with a strong action verb, followed up with one key skill and your outcome of applying this skill;
• Spotlight parts of your career history that are relevant to the job you're applying for.

Before we move on, make sure to check out some professional CV experience sections.

What to add in your data analyst entry level CV experience section with no professional experience

If you don't have the standard nine-to-five professional experience, yet are still keen on applying for the job, here's what you can do:

• List any internships, part-time roles, volunteer experience, or basically any work you've done that meets the job requirements and is in the same industry;
• Showcase any project you've done in your free time (even if you completed them with family and friends) that will hint at your experience and skill set;
• Replace the standard, CV experience section with a strengths or achievements one. This will help you spotlight your transferrable skills that apply to the role.

Key data analyst entry level CV skills: what are hard skills and soft skills

Let's kick off with the basics. You know that you have to include key job requirements or skills across your CV. For starters, take individual skills from the job description and copy-paste them into your CV, when relevant. Doing so, you'll ensure you have the correct skill spelling and also pass the Applicant Tracker System (ATS) assessment. There are two types of skills you'll need to include on your CV:

• Hard skills - technical abilities that are best defined by your certificates, education, and experience. You could also use the dedicated skills section to list between ten and twelve technologies you're apt at using that match the job requirements.
• Soft skills - your personal traits and interpersonal communication skills that are a bit harder to quantify. Use various CV sections, e.g. summary, strengths, experience, to shine a spotlight on your workspace achievements, thanks to using particular soft skills.

Remember that your job-winning CV should balance both your hard and soft skills to prove your technical background, while spotlighting your personality.

Further professional qualifications for your data analyst entry level CV: education and certificates

As you're nearing the end of your data analyst entry level CV, you may wonder what else will be relevant to the role. Recruiters are keen on understanding your academic background, as it teaches you an array of hard and soft skills. Create a dedicated education section that lists your:

• applicable higher education diplomas or ones that are at a postgraduate level;
• diploma, followed up with your higher education institution and start-graduation dates;
• extracurricular activities and honours, only if you deem that recruiters will find them impressive.

Follow a similar logic when presenting your certificates. Always select ones that will support your niche expertise and hint at what it's like to work with you. Balance both technical certification with soft skills courses to answer job requirements and company values. Wondering what the most sought out certificates are for the industry? Look no further:

Key takeaways

Your successful job application depends on how you well you have aligned your data analyst entry level CV to the job description and portrayed your best skills and traits. Make sure to:

• Select your CV format, so that it ensures your experience is easy to read and understand;
• Include your professional contact details and a link to your portfolio, so that recruiters can easily get in touch with you and preview your work;
• Write a CV summary if you happen to have more relevant professional experience. Meanwhile, use the objective to showcase your career dreams and ambitions;
• In your CV experience section bullets, back up your individual skills and responsibilities with tangible achievements;
• Have a healthy balance between hard and soft skills to answer the job requirements and hint at your unique professional value.