How to Write an Exceptional Data Analyst Resume

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 resume.

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Writing Tips for Creating a Striking Data Analyst Resume

Data analysts are in high demand in today’s job market, and competition is fierce. Your resume needs to be tailored to showcase specific software and data-specific learned 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 resume
  • Data analyst resume 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 Resume

  • Data Modeling 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 Resume

  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, State                              2014 to present

  • Data collection, data modeling 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 to achieve:
  • A 6% increase in the rate of production as compared to prior initiatives
  • A 19% 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: Optimized 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 resume 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 resume 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 Resume

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 that are 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 specialized skills.

Q: Why is a data analyst resume important?

Your resume 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 resume can make you stand out. Data analyst skills fall under two major categories: software and data-specific learned skills. It is important to list both on your resume. A professional resume 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 resumes?

Resume examples can help you get a sense of what the perfect resume should include. Content and appearance are both important in a professional resume. Here are some examples of 20+ Best Data Analyst Resumes to get inspired.

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

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

  • Contact information
  • Resume objective or 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 resume!

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