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Data analyst resume examples
Related resume examples
Choose a resume format for your data analyst resume
How to write a data analyst resume in 5 simple steps
Add a cover letter
Key takeaways for your data analyst resume
Frequently asked questions from job seekers

Your skills as a data analyst give you the power to interpret diverse data sets to gain useful insights. No matter your industry, your ability to learn from the numbers and develop data-backed strategies is your strength. Now, all you need is a resume that shows off all that you’re capable of.

Step one is developing those key data analyst skills, and step two is learning how to write a resume that communicates them. You handle the skills, and we’ll help you get the resume part off the ground!

Follow our step-by-step guide to create a data analyst resume that communicates your strengths and gets you the interview.

This guide will show you:

Data analyst resume examples for different levels of experience.
What makes a great data analyst resume example.
Proven strategies for writing a job-winning resume in 2024.
What to include in each section of your data analyst resume.
How to select the ideal resume format and design for the position.

Want to make a data analyst resume in just minutes? Try our AI Resume Builder. The Resume Builder uses professionally written tips and suggestions to write the content of your resume using the information that you provide. It even formats and styles your resume for you so you can focus on the job hunt!

In the next section, we’ll review a couple of data analyst resume samples for candidates at different stages in their careers.

Data analyst resume examples

Entry-level data analyst resume example

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What makes this a great data analyst resume sample?

It focuses on skills
Because this candidate’s career is in its early stages, this entry-level data analyst resume example uses a functional format to focus on skills instead of experience. This is a smart way to play to the candidate’s strengths.
It uses active language
Active verbs like “developed” and “created” show just how active the candidate’s role has been in his previous experiences.
It keeps it simple
A data analyst resume template doesn’t need to be flashy. This candidate has chosen a simple layout which organizes his information without adding unnecessary distractions.

Experienced data analyst resume example

Resume experienced example senior data analyst

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What makes this a great data analyst resume sample?

It focuses on experience
This candidate has extensive experience, so the chronological format is the right choice for her to showcase her strengths.
It lists certifications
This candidate has earned two relevant certifications which highlight her competency as a senior data analyst. So, she gives them their own special section beneath education.
It shows real data
It’s difficult to gauge the impact of a person’s work experience without numbers to back it up. This data analyst resume sample uses concrete numerical data to drive home the impact of the candidate’s achievements.

Choose a resume format for your data analyst resume

Resume formats refer to the way in which you organize your resume sections. Each format focuses on a different section to emphasize the applicant’s strengths. At different stages in your career, your ideal resume format will change.

These are the three resume formats successful job seekers use:

Chronological: This is the best format for senior-level roles because it places the greatest emphasis on experience.
Functional: This format is ideal for candidates with little to no experience because it focuses on skills instead of experience.
Combination: This format is excellent for midcareer applicants because it strikes a nice balance between skills and experience.

Now that you’ve chosen the perfect resume format, check out our resume-formatting guide for tips on font size, spacing, margins and more.

Next up is styling your resume!

Select an appropriate data analyst resume template

Create your resume

Information and organization are both key to your resume’s success, but style matters too. A great data analyst resume template should be professional, neat and appropriate for the position. Choose something simple that adds visual appeal without distracting from your qualifications.

Resume templates come in a lot of different styles. For data analysts, we recommend trying a modern template. You also can’t go wrong with a simple template that sticks to the basics and lets your skills and experience do most of the talking.

Once you’ve chosen the best data analyst resume template for you, you’re ready to start writing!

How to write a data analyst resume in 5 simple steps

Writing your resume is as easy as following five simple steps. Let’s walk through them!

Step 1

Study the data analyst job description

The job listing is required reading for writing a really persuasive resume. Study the position and scan the listing for keywords detailing the skills, experience and expertise required for the role. The listing will tell you what the company is looking for, so try to emphasize those points in your resume.

Many organizations use applicant tracking systems (ATS) to screen resumes. Using keywords from the listing can help your resume make it into the recruiter’s hands!

Step 2

Write a professional summary or resume objective

Next, your resume needs an opener. This is your chance to introduce yourself and give an overview of what you’re about professionally. There are two typical ways to go about this.

A professional summary briefly describes your career so far and your major responsibilities and accomplishments. This is the resume profile that experienced candidates use.

A resume objective focuses more on your career goals and aspirations. For less experienced candidates, a resume objective allows you to focus on your professional development instead of experience.

Let’s look at some data analyst resume profile examples:

Data analyst professional summary example:

Highly adept and detail-oriented data analyst with seven years of experience in the field. Proven ability to collect, organize, interpret and disseminate large amounts of complex data, leading to significant business improvements. Proficient in using advanced data analysis tools and software such as SQL, Python and R. Strong problem-solving skills, combined with a passion for big data and a knack for extracting meaningful insights from data sets. Skilled at creating clear visualizations and reports to communicate data findings effectively to stakeholders. Recognized for consistently completing projects on time and within budget while never compromising on quality. Committed to helping organizations make data-driven decisions that contribute to their strategic goals.

Data analyst resume objective example:

Dedicated and insightful data analyst in training, seeking to leverage strong internship experience into a full-time role. Proficient in SQL, Python and R, with a solid foundation in statistical analysis, data mining and data visualization. Proven ability to collect, process and clean data sets during internship roles, with a focus on delivering actionable insights. Excellent problem-solving skills and commitment to accuracy, complemented by the ability to communicate complex information clearly. Eager to contribute to a dynamic team where I can apply my data analysis skills and continue to grow professionally.

Now that your resume opening is complete, it’s time to work on your resume skills section.

Step 3

Highlight your most relevant data analyst skills

The skills section of your resume is one of the most crucial parts. A data analyst must have a well-rounded mix of soft skills, like resilience and organizational skills, as well as hard skills, like identifying the best analysis type to run and how to interpret the results.

Below is a list of hard and soft data analyst skills for a resume skills section.

Hard and soft skills for a data analyst resume

Hard Skills

SQL
Python
Data cleaning
Data visualization
Database management
Predictive modeling

Soft Skills

Attention to detail
Flexibility
Communication
Critical thinking
Problem-solving
Collaboration

Here is an example of a strong data analyst skills section:

Highly detail-oriented
Adept at problem-solving
Thorough data cleaning
Insightful data visualization
Proficient in ETL techniques

Step 4

Write a strong data analyst work experience section

The work history section is your place to describe your experience. Your career so far can provide valuable insights into your skills and competencies, so be sure to include all the incredible data analyst skills that you use at work every day.

Here’s a sample data analyst resume experience section:

Data Analyst, Leon Technology Group
Boise, ID
January 2019 – Present

Utilize SQL, Python and R to collect, clean and analyze large data sets, identifying trends and patterns that drive strategic business decisions.
Develop and maintain dashboards and visualizations in Tableau, providing accessible reports for stakeholders and aiding in decision-making processes.
Collaborate with cross-functional teams, understanding their data needs and delivering tailored solutions that support their objectives.
Implement machine learning models to predict customer behavior, contributing to a 20% increase in marketing campaign response rate.
Conduct A/B testing and statistical analysis to inform product development, resulting in a 15% increase in user engagement.
Lead data management operations, ensuring the accuracy and integrity of millions of records in the company database.
Regularly present findings and insights to senior leadership, influencing business strategy and operations.
Successfully automated routine data processing tasks, saving the team an estimated 10 hours per week.

Pro tip

Action words like “develop,” “conduct” and “collaborate” make your experience sound more — well — active!

Step 5

Showcase your education and training on your data analyst resume

Use the education section of your resume to discuss the education and training that’s prepared you for your career in data analysis.

Most data analysts have some kind of higher education. List your degrees in the education section, but even if you haven’t completed a degree, vocational training or certifications may also be included in this section.

How to list your data analyst education:

Education

Bachelor of Science in Data Science
Boise State University
Boise, ID
2019

Certifications:

Google Data Analytics Professional Certificate

Pro tip

Certifications give extra credibility to your expertise. Especially if you lack experience or formal education. Be sure to include any relevant certifications that you’ve earned by listing them here or in their own special section.

Optional sections for your data analyst resume

Awards and certifications

Your achievements show what you’re capable of accomplishing. List your awards and certifications to prove to prospective employers that you can back up your expertise with results.

How to list certifications on your data analyst resume:

IBM Data Analyst Professional Certificate: Earned through demonstrating proficiency with data analysis in Excel, SQL and Python.

Projects

Your work history section is meant to be a brief summary of your previous roles. That’s why any big projects that you’ve completed may warrant their own special section so that you can give them the proper space to shine.

How to list projects on your data analyst resume:

Projects

Developed a sales forecasting model using linear regression in Python, improving the accuracy of sales predictions by 25%.
Created a machine learning model to predict employee attrition, providing valuable insights to the HR department to improve retention strategies.
Developed a sentiment analysis tool for Twitter data using Natural Language Processing (NLP) techniques in Python, tracking public sentiment on various topics.

Languages

Communication is a key skill for data analysis professionals. Your proficiency in multiple languages proves that you are a skilled communicator with a special capacity for learning. Being multilingual is an impressive talent, so be sure to include it on your resume.

How to list languages on your data analyst resume:

Fluent in English and Japanese
Proficient in Russian

Interests and hobbies

Hobbies and interests allow you to express yourself with your resume, just be sure to limit this section to relevant hobbies. A love for computer programming or game design is a good fit for a data analyst resume, but a passion for stamp collecting isn’t as good of a fit. Try to emphasize hobbies that connect to your data analyst skills, even if it’s just the soft skills that you use every day.

How to list interests and hobbies on your data analyst resume:

Regular volunteer mentor for an after-school program for kids in STEM.
Annual “hackathon” attendant and competitor.
Avid reader.

Add a cover letter

Create your cover letter

Once you’ve finished your resume, it’s time to start writing a cover letter. Your cover letter is your chance to explain why all your skills and experience add up to make you the best candidate for the job. While more writing might seem like a chore, this is an opportunity that you shouldn’t pass up. And the best part is, it’s easier than you think!

To get started writing your cover letter, take a look at some cover letter examples and our handy formatting guide to learn the basics.

If writing a cover letter still sounds like a pain, give our Cover Letter Builder a try. This tool makes writing a data analyst cover letter easier than ever with auto-generated text suggestions based on the information that you provide. Customize as needed or download right away for a cover letter that’s ready in just minutes.

Key takeaways for your data analyst resume

Make your resume ATS-friendly

Your prospective employer might use applicant tracking systems (ATS) to scan applicant resumes for keywords. Even if they don’t use ATS at all, incorporating keywords from the job listing is a great way to build a resume that’s tailor-made to win you the position.
Organize your sections effectively

Organization makes your resume readable, but the way that you place your information can also help you put your best foot forward. Choose a resume format that plays to your strengths.
Select a suitable design

Your resume design should be appropriate and easy to navigate. For data analysts, the best templates are usually simple or modern. We recommend that entry-level data analyst resumes stick with the basics and go with a modern style.
Show off a range of skills

Your knowledge of data handling and computer skills are important hard skills, but don’t forget to capitalize on your soft skills too! Problem-solving skills can be even more important than technical expertise.
Personalize your application

No recruiter wants to read the same resume over and over again. Avoid using filler words and show off your accomplishments instead of just the duties of the role.
Highlight your impact

Action verbs and numerical data make your achievements pop. Saying you did something just doesn’t have the same impact as showing recruiters the numbers. Try to include data wherever appropriate.
Go above and beyond

No great resume is truly complete without a great cover letter to take it to the next level!

Frequently asked questions from job seekers

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Hailey Brophy is an experienced writer with a diverse career in digital publication. She is passionate about using her unique skills and experiences to help job seekers find the information that they need to succeed.