How to write an exceptional data analyst CV

Whether you’re new to data analytics or are looking to advance your career, these writing tips will help you craft the perfect data analyst CV.

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Table of Contents

  1. Writing tips for creating a striking data analyst CV
  2. What is a data analyst?
  3. Essential skills to highlight on a data analyst CV
  4. Four tips and examples to write the perfect data analyst CV
  5. FAQ: Data analyst CV

Writing tips for creating a striking data analyst CV

Data analysts are in high demand in today’s job market, and competition is fierce. Your CV needs to be tailored to showcase specific software and data-specific learnt skills in order to get the attention of hiring managers.
 
This guide will show you:

  • Job titles for data analytics jobs
  • Data skills to highlight on your CV
  • Data analyst CV examples you can use


What is a data analyst?

Data analysts collect and analyze raw data to gain new insights and conclusions about the information they’re analyzing. During your job search, you may see different job titles for this position. Job titles for data analysts can include:

  • Data engineer
  • Data scientist
  • Business intelligence analyst
  • Database administrator
  • Statistician
  • Database specialist

Essential skills to highlight on a data analyst CV

  • Data modelling and visualization
  • Oracle, Sybase, SQL
  • Microsoft Excel
  • Data collecting and cleaning
  • Mathematics and statistics
  • Computer programming languages
  • Google Analytics
  • Data mining and processing
  • Business analysis
  • Problem-solving
  • Communication
  • Logical Thinking


Four tips and examples to write the perfect data analyst CV

  1. Data analysts must communicate in a structured way; use concise bullet points.

Using bullet points can make information like your work experience or work history easier to read. Bullet points can highlight your key achievements and tasks to make them stand out to the hiring manager.

 
Data Analyst Work Experience Example: Senior Data Analyst, XYZ Company – City, Country                              2014 to present

  • Data collection, data modelling and database administration. 
  • Created dashboards using tableau to sort data by key metrics and share data sets with other departments to improve processes and inform decisions.
  • Led data warehousing effort and achieve a 6% increase in the rate of production as compared to prior initiatives and a19% annual reduction in freight fees.
  1. Quantify your experience and achievements.

Use numbers and percentages to quantify your achievements. Adding a scale of comparison makes your accomplishments more impressive.

 
Data Analyst Achievement Example: Wrong: Optimised production with predictive machine learning.
 
vs.
 
Right: Increased production efficiency by 32% by implementing a predictive machine learning model. 

  1. Use industry-specific terminology.

Industry-specific terminology and phrasing serve an important role. You don’t want to overuse acronyms or jargon, but the use of these terms can make your work experience or skill set clearer to an audience who is familiar with the data analytics industry. Listing advanced terms or skills can also signal what level of your career you are at.

 
Data Analytics Terminology Examples:

  • Anonymization
  • Batch processing
  • Clustering analysis
  • ETL
  • Massively Parallel Processing (MPP)
  • Predictive Modeling
  1. Tailor your skills to the job post.

Your CV should include both soft skills and technical skills, but it should also emphasize specific analytical skills based on the requirements in the job posting. For data analytics, some generic skills may be left off of your CV in favor of more specialized skills.

 
Data Analyst Skills Section Example:

  • Data visualization
  • Data warehousing
  • Problem-solving skills
  • Programming languages (e.g., Python or SAS)
  • SQL servers

FAQ: Data analyst CV

Q: How can I improve my data analysis skills?

There are some general data analysis skills that will apply to all data jobs. One example of a data skill you can begin to master today is proficiency in Microsoft Excel. Excel has features that can assist in even an entry-level data analyst position. Take the opportunity to study statistics books available for free online or at your local library. You may find specific data analysis skills to study by reading a data analytics job description. Certain jobs may require more specialised skills.

Q: Why is a data analyst CV important?

Your CV can highlight the features that make you the best candidate for the job. Whether you have complex special skills or years of experience in data analytics, your CV can make you stand out. Data analyst skills fall under two categories: software and data-specific learnt skills. It is important to list both on your curriculm vitae. A professional CV makes it easy for the hiring manager to see if you possess the qualities needed for the job.

Q: What are some examples of data analyst CVs?

CV examples can help you get a sense of what the perfect CV should include. Content and appearance are both important in a professional CV.

Q: What should I put on a CV as a data analyst?

On your CV for a data analyst job, you should include the following:

  • Contact information
  • Career objective or professional summary
  • Skills section
  • Work experience section
  • Education section
  • Certifications and achievements section

And, don’t forget to submit a great cover letter along with your CV!

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