Data Analyst CV Examples, Templates, & Writing Tips

When applying for your first data analyst role, your skills matter. This example shows how you can use work experience from other roles to highlight your transferable skills and technical expertise.

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How to write a job-winning data analyst CV

Since 2018, UK job postings for data analysts have risen by 231%. As a result, it’s a good time to apply for and land a data analyst job.

Data analysts are in such high demand because of the UK’s growing skills gap. Sectors that need data analysts include:

• business intelligence
• finance
• legal
• marketing
• sales
• economics
• trading
• higher education

No matter your field, follow our four tips to write an outstanding CV for your next data analyst job:

1. Research the data analyst job

Customise your data analyst CV by first researching your target role. Tailoring your CV to a specific job shows recruiters that you fit their needs and that you care enough about working at their company to put in the effort.

The type of company you’re applying to can tell you the:

• kind of data you’ll be analysing
• hard skills you’ll need
• end goals of your analysis
• subject matter expertise that’s recommended (but usually not required)

Once you have this information, use it to customise the following sections of your data analyst CV:

• personal statement
• work experience
• skills

In addition to discussing relevant work experience and skills, use exact phrasing — or keywords — from the job posting to quickly show busy recruiters you match their requirements.

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2. Write a compelling personal statement

Your personal statement should summarise who you are as a worker and what you bring to the company. Additionally, personal statements are especially important for convincing employers to consider your application if you have limited work experience or recently changed careers.

In your personal statement, include:

• unique CV adjectives to describe yourself
• your most job-relevant skills and experience
• the name of the target company

3. Be specific throughout your data analyst CV

Be as detailed as possible on your data analyst CV by both clarifying vague phrases and adding numbers.

In your work experience section, quantify your achievements so recruiters can easily see the impact of your work. As a data analyst, you can incorporate numbers like the ones below into your experience bullets:

• Data dimensions
• Outcome of your data analysis
• Time saved by implementing a new or different workflow
• Number of reports generated within a certain time period
• Number of projects managed at one time

Additionally, specificity in your skills section can make your technical knowledge stand out.

Provide specifics for your skills to give employers a better sense of what you can do. For example, rather than writing ‘data analysis and workflows’, you might say ‘performed A/B testing’ or ‘linear regression’ or ‘data cleaning to remove outliers and empty values’.

4. List in-demand data analyst skills

Data analysis is a highly technical field. As a result, your data analyst CV needs to display the right skill set if you’re to be considered for the job. Popular skills to list on your data analyst CV include:

How to Become a Data Analyst

Now you know what a good data analyst CV looks like, you might be thinking about beefing up your actual data analytics experience. Mo Chen provides all sorts of resources for a career in the field, like this guide:

Data analyst job outlook — things to know

According to the UK Earnings Explorer provided by the Office for National Statistics (ONS), data analysts in the UK earn an average annual salary of £35,327, with similar pay levels for both men and women.

The ONS also notes that this role faces a skills shortage, with 8.50% of employers reporting difficulties filling similar vacancies.

To strengthen your CV for a data analyst role, highlight these key qualifications and licences:

• Chartered Institute of Payroll Professionals (CIPP) certifications
• Microsoft Office Specialist (MOS) certifications
• Chartered Institute for Securities & Investment (CISI) certifications
• Association of Corporate Treasurers (ACT) certifications
• Microsoft Certified: Data Analyst Associate
• Certified Product Analyst (CPA) certification

If you’re missing any of these qualifications, consider enrolling in a course, training programme, or work-based learning scheme to boost your profile.