Ensure your CV format is structured to best highlight your unique experience and life situation.

Data analyst CV template (text format)


Innovative and process-oriented Senior Data Analyst with 10+ years of experience in collecting, interpreting, and analysing statistical figures for strategic business decisions and solutions. Good communicator focused on building client relationships to develop the right strategies to query and extract insights. Possess an M.Sc. in Business Analytics. Proficient in using data visualisation tools to identify key business trends and increase sales and productivity.


Coven Data Consulting LTD., Liverpool
Senior Data Analyst, 20XX – Present

  • Used Google Analytics and SPSS to implement new scripts that increased performance by 35%
  • Brought £25K revenue to the company by developing improved insights for better management decisions
  • Supervise and train 15 Junior Data Analysts in data management and qualitative and quantitative analysis
  • Implement and improve databases, data analytics, and data collection systems to help meet company sales goals for 3 consecutive years
  • Review technical reports and performance indicators to filter and clean data, locating issues related to data codes

Star Labs, Birmingham
Data Analyst, 20XX – 20XX

  • Used SPSS and MATLAB to collect and analyse a variety of statistical models and produce comprehensive reports
  • Generated PL/SQL scripts for extensive back-end testing
  • Developed key performance indicators and data architecture to monitor company sales and reduce costs by 28%
  • Conducted research and analysed large data sets on 2 different products, and increased sales by 21%
  • Trained 5 interns to use data visualisation tools to optimise statistical efficiency and quality

Tech Hub, Liverpool
Research Analyst, 20XX – 20XX

  • Organised and analysed data using Excel functions
  • Received accolades from the manager for identifying trends and offering recommendations for improvement
  • Collaborated with superiors to collect, interpret, and compile data in an organised manner
  • Presented 3 detailed reports each week to senior analysts, enumerating developments with the company’s projects


University of Oxford, 20XX-20XX
MSc in Business Analytics, first-class honours

University of Oxford, 20XX-20XX
BSc (Hons) Statistical Science, upper second-class honours (2:1)

Relevant Modules: Business Intelligence Systems, Concepts & Methods; Research Methods; Data Mining Techniques and Applications; Analytics Programming; Data Warehouse Design and OLAP

Dissertation Topic: Big data analytics and its impact on marketing strategy

Bay Leadership Academy, Morecambe, 20XX-20XX

A-levels: Maths (A), Physics (A), Computer Science (A)
GCSEs: 10 A-C including Maths, English, Computer Science, Business Studies, and Physics


Critical Thinking – Data Visualisation – Machine Learning – Microsoft Excel – Structured Query Language (SQL) – R – Python – Communication skills


Coding – Dancing – Reading – Public Speaking

How to write a job-winning data analyst CV

Before you begin writing, make sure you know how to write a CV in a way that best emphasises your strengths.

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 data analyst CV:

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.

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
A personal statement on a data analyst CV with CV adjectives, job-relevant qualifications, and the target company written in black text on a white background.
Keep your data analyst CV’s personal statement short to keep employers engaged.

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

List your Github in your data analyst CV’s contact information so that hiring managers can learn more about the projects you’ve completed.

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:


  • data quality assurance and standardisation
  • data modelling, cleansing, and enrichment
  • data visualisation (e.g., Tableau)
  • checking prospective data sources
  • database management
  • advanced Microsoft Office skills
  • data query languages (e.g., SQL)
  • programming languages (e.g., Python)
  • statistical programming languages (e.g., R, SAS)
  • Google Analytics
  • Microsoft Azure
  • trend analysis


In a rush? Accelerate the writing process by using a CV builder.

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Written by

Aaron Case

Aaron Case is a CPRW & Senior Staff Writer at CV Genius with 8+ years of experience in writing and career resource spaces. Job seekers around the world and in various stages of their vocational journeys have landed fulfilling work thanks to his thoughtful career advice, which has also been showcased in publications like Forbes, MSN, CareerAddict, Ladders, Best Colleges, Ivy Exec, Capitalism.com, and vidIQ. Aaron has a BS in English & Communications from Liberty University bolstered by a professional credential from UC Berkeley. He’s collected practical experience while following various career paths, and he enjoys sharing the resulting insights with everyone. You can contact him through his LinkedIn profile or on Twitter. Please note, we don’t accept guest posts, and all such requests will be ignored.