Data Analyst CV Example

A data analyst CV that includes all the necessary details and is tailored carefully to the job description puts you in a great position. It can help you pass the ATS screening stage, make a strong impression with the employer and reach the latter stages of the recruitment process. Now let’s explore the main sections of a CV and see how to structure each one for maximum impact.

Key sections for a data analyst CV

Your strategy for writing a data analyst CV will depend heavily on your experience, your level of seniority and the requirements listed in the job description.

However, no matter where you are in your career, a data analyst CV must present a clear, compelling narrative of your professional journey. To help you build that story, we’ll now break down the document piece-by-piece—from the initial contact header to your most significant career milestones.

CV Header

Start your data analyst CV with a header that features subtle, professional design elements and sets the tone for the document. Add your name, email address, phone number and location (your full address isn't normally needed). Additionally, consider adding a URL to your LinkedIn profile if you have one. This can help the reader to quickly access further information about your career and credentials that you haven't been able to add to your CV.

For UK applications, it's not usually a good idea to add a personal photo or any other personal details, such as your age, gender, nationality or ethnicity. These can risk introducing bias to the selection process and, as such, are often discouraged in job adverts under the terms of the Equality Act 2010.

CV Summary

Below your contact information, a short, concise CV summary or CV objective can set the tone for your application and provide brief, basic information on your key skills and qualities that gives a strong indication to the reader about your suitability for the data analyst role. A CV summary focuses on your key skills and achievements, while a CV objective provides an alternative approach, showcasing your career ambitions and how the role fits with these. This makes a CV objective ideal for entry-level candidates.

In your summary or objective, write up to three sentences outlining your key skills, unique personal qualities and career achievements or ambitions, taking care to always reflect the requirements listed in the job description.

An effective CV summary will focus on a few of the key skills required for the role and show how you've put them to good use in your career to date. You'll want to give the reader a good impression of your unique qualities and briefly provide evidence of their impact in previous roles. Below you'll find a good example of how to write an effective data analyst CV summary. The example shows quantifiable achievements and well-structured sentences.

Above is an example of CV summary that doesn't follow best practice, with some subtle shortcomings and failings. There are several factors that could make your summary less engaging. These include using long, poorly-structured sentences, failing to add evidence of your impact, being too generic with the skills you mention and not adapting your CV summary to specifically respond to the job description.

Work History

A CV's work experience section is usually its most important element. Employers tend to value the work experience section, as it shows evidence of how you've put your relevant skills to good use in your career to date. Always take the time to tailor this section, including keywords and phrases that match the job description. This will help employers to judge how strong a fit you are for the role, and how you might apply your skills for the benefit of the organisation.

Add your most relevant previous jobs, including the job title, the name of the employer, its location and the dates you worked there. Below each entry, include several bullet points showcasing your skills and explaining how you used these to achieve positive results.

What differentiates one CV work experience section from all the others is the use of action verbs and quantifiable evidence in your bullet points. It should showcase how your actions led to positive outcomes for the employer, and show a progression in your skills throughout your career. Here's an example of best practice in a data analyst CV work experience section:

Above is an example of what not to do with your data analyst CV. An unengaging work experience section could be too generic, focusing too much on day-to-day duties rather than skills and achievements. It could also fail to address the job description or lack evidence to show the impact you've made in your career to date.

Education

Your education section is the chance to list your most recent and highest qualifications, and anything that's relevant or required for the role.

A degree is typically a strict requirement for data analyst jobs, and as such, you'll want to showcase yours in your CV. If you have a Bachelor of Science in Data Science or another similar, relevant degree that confirms your eligibility for the position, include it in your CV. You might also wish to add other degrees or qualifications that highlight your strongest skills, such as machine learning algorithm fundamentals or spreadsheet formula manipulation skills.

Creating the education section of your CV means selecting the most relevant and highest qualifications, and listing them in reverse-chronological order, starting with your most recent achievements and working back from there. Add the name and level of the award, the institution, its location and your dates of study or graduation. If you have space or if you particularly want to emphasise your qualifications, you could add one or two bullet points under each entry, highlighting specialist areas of study, projects you worked on, awards you won or societies you were a member of.

If the job description requires any specialist certifications or licences, you may wish to add these in your education section. If you add these, it's also a good idea to include the expiration date of the licence or qualification, if it has one.

Skills

Your CV's skills section CV's skills section is a great place to showcase some of the key skills necessary for the role. Check the job description to understand which skills are most essential, and provide a combination of hard and soft skills, reserving space to include some unique qualities that can help you to stand out from the competition. For a data analyst CV, you'll want to focus on the most relevant skills for the role that match your skill set, including problem solving and spreadsheet formula manipulation skills, to catch the reader's attention and show you're qualified for the data analyst position.

Hard Skills

Hard skills refer to the technical and specialist skills required for the everyday duties of the job. They might include specialist knowledge, or the use of certain software and equipment. You can gain these skills through study, training or industry experience, and they might require a licence or certification. For data analyst roles, hard skills from your career experience, such as machine learning algorithm fundamentals, and database management SQL expertise tend to be prioritised by employers and recruiters. After checking the job description, include a list of four or five key hard skills in your CV to confirm that you have the necessary expertise for the role.

The best hard skills to include are typically listed as 'essential' or 'required' in the job description. Aim for a mix of the most desirable skills, together with those you have the highest proficiency in. For the best chance of success, you'll want your strongest skills to match closely with those most desired by the employer.

The following section highlights skills that are commonly listed under hard skills in a data analyst CV:

Soft Skills

Soft skills differ from hard skills because they tend to be more transferable and applicable to different roles. Soft skills are the personal strengths and qualities that define your style of working and determine how well you're likely to fit in with the team and wider organisation. Transferable skills are among the most in-demand skills for employers, with rapidly changing and evolving ways of working requiring ever-more flexible and adaptable employees. Soft skills are also highly valuable for junior and entry-level positions, where candidates aren't expected to have a wealth of relevant work experience and career achievements.

As with your data analyst CV hard skills list, review the job description to learn the key soft skills for the role. Include the best soft skills that you can provide evidence for throughout your CV. Your soft skills list should reflect the job description as closely as possible, while also reflecting your strongest, unique talents and personal qualities. Aim for a list of around five key skills.

Explore the examples below to identify soft skills commonly presented in a data analyst CV.

Languages

If you speak any additional languages, you might want to consider adding a languages section to your CV. Even if languages aren't a requirement of the job description, speaking a foreign language can reflect well on you as a candidate, and correlate with other soft skills that can increase your employability. Within this section, list the foreign languages you speak to a reasonable degree of competence, together with an indicator of your skill levels.

The ways to indicate your foreign language skills depend on the level of detail you want to provide. They include assigning a basic descriptive word, such as:

• English: Fluent
• Spanish: Intermediate

You could adopt the Common European Framework of Reference (CEFR), as this provides standardised levels to describe your competence, as follows:

• A1: Beginner
• A2: Elementary
• B1: Intermediate
• B2: Upper intermediate
• C1: Advanced
• C2: Proficiency

Certifications and Training

If you've invested your time and resources into gaining extra qualifications beyond the minimum requirements for the role, you could highlight these in a certifications section. It's often beneficial to include it as it can illustrate a positive attitude towards self-improvement and professional development, as well as a proactive mindset. All these qualities will appeal to most employers and decision-makers. In addition, the certifications section can be a valuable addition to your data analyst CV if you're applying for a role that cites certain certifications or licences as a necessity in the job description. These might include roles where the use of specialist software or equipment forms part of your everyday duties.

These example certifications and licences are ideal for candidates applying for data analyst roles:

Optional Sections

In addition to the core sections of your CV, optional sections can be a useful way of proving you've got the necessary data analyst skills. Consider adding optional sections if you're unable to show all the necessary skills for the job through work experience, but could show them through extracurricular activities and other areas of life. This could be especially relevant if you're a junior candidate, or if you're changing careers.

If you're curious about other ways to make your CV more effective, our career resources will help you strengthen your application.

Hobbies and Interests

One valid way to show you have relevant skills for the job is by listing your hobbies and interests. Additionally, this section gives you the chance to show employers different facets of your personality and interests beyond work, which can help them to differentiate you from other applicants. However, hobbies and interests can only add value to your CV if they provide evidence of skills and experience that you can use in the role you're applying for. As such, only add hobbies as a way of filling gaps in the skills you've developed or used through work experience.

Awards and Achievements

Creating a list of your key career achievements can be an effective way of drawing attention to the things you're most proud of from your career. In your list, add any awards you've won, industry recognition or key career milestones that tell a story about your suitability for the role and place you ahead of other candidates.

Voluntary Work

Listing any previous voluntary work is another useful way of showing you have the necessary skills and experience for the job. If you don't have much relevant work experience, either because you're a junior candidate or you're changing jobs from an unrelated field, volunteering can provide valuable examples of your skills in action. In your volunteering section, use a similar structure to your work experience section.

Add your job title or a description of the volunteer role, the organisation name, its location and the dates you volunteered (start and end date). Under this, add bullet points to show the skills you used, and evidence of how they contributed to positive achievements for the organisation.

Top action words to use in a data analyst CV

Including strong action verbs with your work experience bullet points can help you show the impact you made in previous roles. Starting each bullet point with an action verb is a great way to match your experience and achievements to the job description, giving the reader an easy way of identifying your key skills and seeing how you've applied them. When adding action verbs to your work experience bullet points, just remember to always provide quantifiable evidence that shows the value you added for each employer. Use past tense for any action verbs that describe previous roles (for example, 'developed') and present tense for current roles (for example 'collaborating').

Data analyst CV example

Now that you know exactly what to include in your data analyst CV, we can take a look at a final, finished example below:

To see how your CV might look after finalising its design and layout, take a look at our CV examples.

Guide to CV ATS optimisation

Employers and recruiters now routinely use applicant tracking systems (ATS) to ease the burden of the selection process. One of the key functions of these systems is CV screening, which reviews CVs and ranks them based on their likely fit for the role. This saves recruiters and hiring managers the time and effort of reading every CV in detail. With many vacancies often receiving hundreds of applications, ATS software can really relieve the burden on hiring teams and free them up to focus only on the most suitable candidates.

The increasing usage of ATS apps by recruiters and employers means it's critical to adapt and prepare your applications to successfully navigate this stage of the selection process. Following the tips below will give you everything you need for an ATS-compatible CV:

• Include keywords and phrases that match the job description, giving you the best chance of appearing as a strong fit for the role.
• Use clear, standard CV headings that are easily recognisable, such as 'work experience', 'education' and 'skills'.
• Choose a simple, standard CV structure and omit any design elements that might make your CV less easy to read by automated systems, such as text boxes and columns.
• Select a font that's widely used and maximises readability, including popular serif and sans serif fonts between size 10 and 12 for body text, and 14 and 16 for headings.
• Use bullet points in place of full sentences and paragraphs. This can reduce the overall length of the document, make the keywords stand out and make it easier for ATS apps to scan.

It's easy to get overwhelmed by the steps to creating an ATS-compatible data analyst CV, but a few small changes can make a big difference. To smooth the process, use one of our expert-designed, ATS-optimised CV templates to increase your chances of success at this stage of the screening process.

Key takeaways for your data analyst CV

To stand out from the crowd with your CV, tailor your approach to each individual application, incorporating keywords and phrases that match the job description. Use a CV format that reflects your experience levels, and emphasise your skills and achievements throughout your CV, to show employers you've got the required skills and experience for the job.

Finally, creating your CV using one of Jobseeker's expert-designed CV templates can give your application the edge, placing you among the leading candidates and positioning you for success with your job applications.

Sources:

1. Barnet Council (UK local government), Recruitment tips: How to write a supporting statement
2. Jobseeker, HR Insights