A data analyst CV template helps you present your technical skills, analytical experience and ability to turn data into useful findings. Include your contact details, professional summary, tools, work experience, projects and education.
For junior applicants, relevant projects can demonstrate your abilities even without a previous data analyst job. Experienced applicants should highlight their analysis, reporting and measurable contributions.
Get a suitable CV design template for a Data Analyst here or copy the sample below and replace the placeholders with your details.
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Data Analyst CV Template
Use this editable data analyst CV sample as a starting point. Include only the tools, qualifications and experience you can explain confidently in an interview.
[Your Full Name]
Data Analyst
[City, Country] | [Phone Number] | [Professional Email]
[LinkedIn Profile] | [Portfolio or GitHub URL — optional]
Professional Summary
Data analyst with [number] years of experience analysing [sales, financial, operational or other relevant] data. Skilled in [SQL, Excel, Power BI or other tools you use] for cleaning datasets, building reports and communicating findings. Experienced in supporting [team or business function] with analysis of [relevant metrics or problems].
Technical Skills
- Spreadsheets: [Excel, Google Sheets; relevant functions and features]
- Databases: [SQL, PostgreSQL, MySQL or other systems]
- Visualisation: [Power BI, Tableau or other tools]
- Programming: [Python, R; relevant libraries]
- Analysis: [Data cleaning, exploratory analysis, descriptive statistics]
- Reporting: [Dashboard development, KPI reporting, presenting findings]
Work Experience
Data Analyst — [Company Name]
[City, Country] | [Month Year]–[Present or Month Year]
- Analysed [dataset or business area] using [tool] to identify [trends, problems or opportunities].
- Cleaned and validated data by checking [duplicates, missing values or inconsistent records].
- Built [dashboard or report] tracking [relevant metrics] for [team or stakeholders].
- Automated [reporting task] using [tool], reducing preparation time from [verified figure] to [verified figure].
- Presented findings to [audience], supporting [specific decision or action].
[Previous Job Title] — [Company Name]
[City, Country] | [Month Year]–[Month Year]
- Prepared reports on [relevant activity] using [tool].
- Checked records for accuracy and investigated discrepancies.
- Worked with [department] to improve [reporting process or data quality].
Selected Projects
[Project Name]
Tools: [SQL, Excel, Python, Power BI or relevant tools]
Portfolio: [Project URL — optional]
- Investigated [clear question] using [dataset and source].
- Cleaned the data and documented [important quality issues].
- Applied [analysis method] to examine [metrics or relationships].
- Created [dashboard, report or notebook] explaining [key finding].
- Documented limitations and recommendations.
Education
[Degree or Qualification] — [Institution Name]
[Graduation Year]
Relevant modules: [Statistics, databases, research methods or relevant subjects]
Certifications and Training
- [Certification or Course] — [Provider], [Year]
- [Certification or Course] — [Provider], [Year]
Data Analyst Skills to Put on Your CV
Choose skills that match the vacancy and show where you have used them.
| Skill | Evidence to include |
|---|---|
| Excel | PivotTables, lookups, formulas or Power Query used in a report or project. |
| SQL | Queries using joins, aggregations, CTEs or window functions you understand. |
| Power BI or Tableau | Dashboards with clearly defined metrics and useful filters. |
| Python or R | Scripts or notebooks used for cleaning, analysis or visualisation. |
| Data cleaning | Examples of handling duplicates, missing values and inconsistent formats. |
| Statistics | Methods you applied appropriately and can explain. |
| Communication | Reports or presentations that helped others understand findings. |
| Business understanding | Analysis connected to a specific operational or commercial question. |
Avoid listing every analytics tool you have encountered. A focused skills section supported by projects is more useful than an unsupported list.
Data Analyst CV Summary Examples
For an Experienced Data Analyst
Data analyst with three years of experience preparing sales reports and operational dashboards. Uses SQL, Excel and Power BI to validate data, monitor performance and investigate changes in business metrics. Communicates findings clearly to sales and operations teams.
For a Junior Data Analyst
Junior data analyst with practical experience using SQL, Excel and Power BI through independent projects. Skilled in cleaning datasets, writing queries and building dashboards. Seeking an opportunity to apply analytical skills to business reporting and decision support.
For a Career Changer
Operations professional transitioning into data analysis, with experience maintaining records and preparing performance reports. Developed SQL and Power BI skills through structured training and portfolio projects. Brings practical knowledge of operational processes and data accuracy.
Adapt the wording to your actual background and the requirements of the role.
How to Write Data Analyst Work Experience
Describe the problem, your contribution and the result. Explain what you analysed and why the work mattered.
Instead of:
Responsible for creating dashboards.
Write:
Built a Power BI dashboard showing weekly sales by product and region, helping the sales team review performance in one report.
Where you have reliable measurements, include them:
Automated a weekly Excel report using Power Query, reducing preparation time from three hours to 45 minutes.
These are illustrative examples. Use your own verified results, and distinguish your contribution from work completed by the wider team.
Data Analyst CV With No Experience
If you have not worked as a data analyst, place your technical skills, projects and education before employment history.
Use academic work, internships, volunteering or independent projects to demonstrate your abilities. Label each project accurately so employers can distinguish it from paid employment.
Example Portfolio Project
Retail Sales Analysis — Independent Project
Tools: Excel, SQL and Power BI
- Used a public retail dataset to investigate monthly sales and product performance.
- Checked for duplicate records, missing values and inconsistent date formats.
- Wrote SQL queries to summarise sales by month, category and region.
- Built a dashboard displaying sales trends and product comparisons.
- Documented findings, dataset limitations and questions for further analysis.
Replace this example with work you have completed. Include a portfolio link where possible, and make sure the project is accessible.
What Makes a Useful Data Analyst Project?
A strong project explains:
- The question you investigated.
- The source and suitability of the data.
- How you cleaned and analysed it.
- What you found.
- The limitations of your conclusions.
Avoid sharing confidential employer or customer information. Use public, permitted or synthetic data for portfolio work.
How to Tailor Your CV to a Data Analyst Job
1. Identify the Required Tools
Read the vacancy for requirements such as SQL, Excel, Python, Power BI or Tableau. Prioritise the tools you genuinely use that match the position.
2. Select Relevant Projects
For a financial analyst role, highlight relevant financial analysis. For an operations role, prioritise projects involving processes, service performance or resource use.
3. Use Specific Descriptions
Write “SQL joins and aggregations” or “Excel PivotTables and Power Query” where accurate, rather than using broad phrases such as “computer literate.”
4. Keep the Layout Clear
Use standard headings, consistent dates and readable text. Avoid skill-rating graphics that do not explain what you can do.
5. Follow the Submission Instructions
Use the file format requested by the employer. Check that your exported CV opens correctly, contains selectable text and has working portfolio links.
Common Data Analyst CV Mistakes
- Listing tools without evidence of using them.
- Describing projects without explaining the question or findings.
- Claiming business results that were not measured.
- Presenting practice projects as paid employment.
- Including broken or inaccessible portfolio links.
- Using technical terms you cannot explain.
- Sharing confidential datasets or reports.
Frequently Asked Questions
What should a data analyst CV include?
Include contact details, a professional summary, technical skills, relevant experience, projects and education. Add certifications and portfolio links where they strengthen the application.
Can I apply for data analyst jobs without experience?
Some junior roles accept applicants without previous analyst employment. Check the vacancy requirements and use completed projects, internships or academic work to demonstrate relevant skills.
Should I include Python on my data analyst CV?
Include Python if you can use it for relevant tasks and explain your work. If the vacancy prioritises Excel and SQL, make those skills prominent.
How many projects should I include?
Two or three relevant projects can provide useful evidence without overcrowding the CV. Select projects that demonstrate different skills or match the role closely.
Should I include GitHub?
Include GitHub if it contains relevant, organised work. Add clear project descriptions and remove broken links. A portfolio website or accessible dashboard can also showcase your work.
How long should a data analyst CV be?
Aim for one page when you have limited experience. Two pages can be appropriate for applicants with substantial relevant work. Keep the strongest evidence easy to find.
Create Your Data Analyst CV
Choose your most relevant skills, experience and projects, then adapt the template to the job description. Check your examples, figures and portfolio links before applying.
Create your data analyst CV for free and present your qualifications in a clear, professional format.