An entry-level data analyst CV should show that you can turn raw data into clear answers for hiring managers in the United Kingdom. This guide helps you present relevant experience, projects, and skills so you look ready for your first analyst role.
Use the examples and sections below to build a focused CV that highlights what matters most to UK employers.
Building a Data Analyst resume?
Skip the blank page. Start with a template built for this role, then tailor it for each job you apply to.
Priya Nair — Data Analyst
Data analyst with 3 years turning messy operational data into decisions for finance and product teams. SQL, Python, and Looker daily.
- Built a churn dashboard used weekly by leadership; insights drove a retention offer that cut churn 6% in one quarter.
- Automated 12 manual Excel reports in Python, saving ~15 hours per week across the ops team.
- Partnered with engineers to fix tracking gaps, improving event completeness from 82% to 97%.
- Presented A/B test readouts to non-technical stakeholders with clear recommendation memos.
Tip: use the template as a starting point, then swap in your own numbers and project names.
Why the entry-level data analyst CV matters
UK hiring managers want practical evidence that you can perform analysis, not just coursework. A targeted CV helps you stand out by making your technical skills and results easy to spot.
If you show real examples of data work, you increase your chances of securing an interview.
Contact information and title: Make them clear
Put your full name, telephone number, email, and a link to your LinkedIn or GitHub at the top of the page. Use a simple CV title such as 'Entry-Level Data Analyst' or 'Data Analyst, Recent Graduate' so recruiters immediately understand your goal.
Keep formatting clean so applicant tracking systems (ATS) can read this section. In the United Kingdom you may also include your town and country and your right to work in the UK if applicable.
Summary or objective for an entry-level data analyst CV
Write a 2 to 3 sentence summary that focuses on relevant experience, tools, and the type of role you want. Mention one or two technical skills such as SQL or Python and a result from a project or placement to show impact.
If you have little paid experience, use an objective that explains your background and the value you bring to a UK organisation. Include your availability and any travel or hybrid working preferences.
Key skills to put on an entry-level data analyst CV
List technical skills that match job descriptions, such as SQL, Python, Excel, Tableau, and basic statistics. Separate skills into categories like Programming, Analysis, and Visualisation so recruiters scan quickly.
Include a mix of tools and analytical techniques, and avoid vague terms without examples.
Education section: What to highlight
Include your degree, university, graduation date, and relevant modules or certifications that apply to data analysis. If you have a strong grade or honours, add them but only when they support your candidacy.
Mention final year projects or dissertations that used real data or common tools. In the United Kingdom reference GCSEs, A levels, and UCAS details as appropriate, and note your degree classification (for example 2:1).
If you studied at a Russell Group university, or completed a UCAS application, mention it. For healthcare or public sector roles, you can reference NHS related qualifications or training where applicable.
Work experience: Frame non-analyst roles for your entry-level data analyst CV
Translate unrelated roles into analytical accomplishments by focusing on measurable outcomes and data tasks you handled. For example, describe how you used Excel to clean records, created reports that improved a process, or automated recurring tasks.
Each experience bullet should start with a strong action verb and end with a concrete result where possible. If you have limited paid experience, include placements, internships, volunteering, or academic projects.
Project section: Show relevant experience even without full-time roles
Add 2 to 4 projects that demonstrate your data workflow from question to insight. For each project, provide a brief problem statement, data source, tools used, and the impact or decision that followed.
If possible, provide a link to a GitHub repository or portfolio site. Ensure you reference real data where possible and mention if you collaborated with others.
This section is especially useful for NHS or public sector roles where project based evidence can supplement work experience.
Additional Tips
- 1Tailor your UK CV to the role by emphasising outcomes and transferable skills.
- 2Aim for 1 page for early careers; 2 pages max if you have multiple relevant projects or placements.
- 3Include a portfolio or GitHub link to demonstrate your data work and code quality.
- 4Be explicit about right to work in the UK and any visa requirements where relevant.
- 5Use UK job boards such as Reed, Indeed UK, Totaljobs, and LinkedIn to discover roles.