Data Analyst Resume Example

Follow this comprehensive guide to write a data analyst resume that will get you more interviews and job offers.

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Written by Melinda Dix
Resume specialist
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Last updated on March 13, 2022
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How to write the best data analyst resume

Data Analysts are critical components of any effective organization. They must mine, store, and clean data – research market trends, and make predictions about how a company will perform in the future.

They make data tell a story that executives can understand.

When hunting for a job, data analysts need to tell another story: the story of their career and why a hiring manager should consider them for this position. That story is best communicated through a great data analyst resume.

But how would you even start writing a data analyst resume? Where do you begin? Not to worry, we at Leet Resumes have created the best data analyst resume template that you can borrow, customize, and make your own.

Want to know what makes a great data analyst resume? Continue on to read our free guide to writing a data analyst resume.

Let’s get started.

How to write a great data analyst resume

A great data analyst resume has to show your growth and competency as a data analyst. It’s a 1–2-page document that serves as your first impression to a recruiter or hiring manager. It needs to highlight your work experience, skills, and how you position yourself as a data analyst professional.

A great data analyst resume gets you noticed and gets you a job interview. A bad resume gets you an automatic rejection – even if you were qualified.

Because the resume is such a high-stakes component of your data analyst job search, it can be a smart investment to turn to trusted resume writing professionals.

At Leet Resumes, we’ve written thousands (yes, thousands) of resumes, and we’re ready to write yours today. For free.

Tips certainly are appreciated!

How should I format my data analyst resume?

We’ve seen a lot of resume fads come and go over the years, but nothing beats our tried-and-tested format for data analyst resumes.

This format clearly explains the value you provide to an organization while showing off your experience in an easy-to-follow manner.

When it comes to data analysts, you want to create a resume that lets a hiring manager know who you are, what you’ve done, and what you can provide.

Here is the Leet Resume formula for writing a great data analyst resume:

  • Name and Contact
  • Professional Headline
  • Summary
  • Work Experience
  • Education
  • Keywords

Use 1-2 fonts that are legible. No Jokerman, no Comic Sans. Stick with trusted fonts like Times New Roman or Arial. You can experiment with different font sizes and effects (bold, italics, underline) for headings and subheadings, but it is important to stay consistent.

Do not use more than one column, do not use graphics, and do not experiment with additional colors. Resumes are often parsed by software before a recruiter even looks at your profile, and they get easily confused. Do yourself a favor and keep it as simple and consistent as possible.

Name and Contact

The first piece of data you’ll need to input is your name. Choose whichever name you go by professionally. If you go by your middle name, then make sure you start with your middle name.

Remember: you want to make things as easy as possible for the recruiter.

Right below your name goes your contact information. Phone and email are required. LinkedIn is good to include only if you check it frequently. You don’t want a recruiter to reach out on LinkedIn messenger and have that invite sit unread for two weeks.

For your email address: it is critical to have a professional-sounding email. If you never changed your high school email from iluvfrogs278@gmail.com, then now is the time to change it!

This is important. People lose out on interviews because of unprofessional resumes.

Professional Headline

You’ve identified who you are, but now a hiring manager needs a piece of data to understand if you’re a fit for their organization.

This is why you use a professional headline.

A professional headline is a single line that quickly captures your skills, seniority, and trajectory.

This way, a recruiter can immediately see if you’re a good fit for the data analyst opening at their company. If they’re hiring for a Senior Analyst role, and your headline says “…with 2 years of experience,” they’ll know you’re not quite the right fit.

And that’s ok! You’re not going to be the right fit for every job.

But you do want to ensure that you are being considered fairly for the right jobs, and that’s why you write a great data analyst headline.

Here’s a sample that you can use. “Detail-oriented data analyst professional.”

Summary

After your headline, it’s time for your summary.

Your summary is your elevator pitch. It’s where you use 2-4 lines to let the recruiter know that you have the skills and work experience to do the job.

And like any elevator pitch, this is your chance to really hook that recruiter.

Remember, recruiters get over 110 job applications for every single job opening. They’re trying to drink from a firehose.

So they’re looking to make that process as easy as possible. They want to separate the quality candidates from the “bad fits” as quickly as they can.

Using a catchy summary can get you that interview.

Here are the four lines you’ll need.

  • Job titles you’re targeting for your data analyst search
  • Relevant data analyst experience you have
  • Achievements related to your data analyst employment
  • Promotions or awards in your data analyst field The first two lines are essential, while the second two lines will be dependent upon your seniority. If you’re a data analyst fresh out of college, you should likely stick to lines one and two.

Work Experience

This is the heart of your data analyst resume. In your work experience, you’ll want to include every position that you’ve held in reverse chronological order.

One of the issues that I’ve seen with data analyst resumes is that they tend to focus on the daily tasks that data analysts do at each company they worked at.

This is a mistake. Instead, you need to focus on the big wins.

Remember, your resume is your first impression. You want the hiring manager to read your resume and think, “holy cow, we need to get this woman in for an interview today!”

Here’s how you get that interview.

List your successes, accomplishments, and achievements

This is the time to brag about your hard data analyst work. Every big project you’ve worked on, every high-level conclusion you’ve drawn based on hours of data analytics – this is what you need to include.

Make sure that these are single bullet points, not paragraphs. Recruiters do not like reading paragraphs.

Start each bullet with a strong verb

Recruiters do like reading strong verbs. They don’t want to read “was responsible for…” or a generic skill like “predictive analytics.” They want to see what your skills look like in action.

Performed, compiled, analyzed, quantified.

Quantify everything you can

Speaking of quantify, you’ll want to add hard numbers to your work wherever you can. Don’t simply say “analyzed data,” say that you “analyzed 24 spreadsheets containing 500 formulas.”

Get granular. If you can show that you’ve saved a company money or helped them earn more revenue, definitely highlight that on your resume!

Highlight your promotions

A resume tells a story. Your recruiter will start from the beginning of your work experience, and work his way to your present job. The recruiter will look for places where you’ve gained seniority, experience, and responsibility.

Showing off a promotion is an excellent way to catch a recruiter’s attention.

A promotion shows that you grew while on a job. That’s a signal you have the potential to grow with a future company – and a sign that a recruiter will want to talk to you!

Include dates

Always include dates. Having gaps in your resume is not a red flag. A recruiter may want to ask you about gaps, giving you the opportunity to explain your work history.

Not including dates looks like you’re hiding something. That makes a recruiter less likely to trust you, and therefore less likely to interview you.

Include dates on any data analyst resume you write.

Education

The education section of your data analyst resume doesn’t need to be any longer than a simple list of what degrees and certificates you have earned. Start with your most recent college degree, and work your way in reverse chronological order.

Keywords

The keywords section is where you show off your data analyst skills and awards.

There are three types of keywords: hard skills, soft skills, and awards.

Here are some common data analyst skills you may include.

Hard skills:

  • Python, R, SQL
  • Microsoft Excel
  • Machine Learning
  • Calculus

Soft skills

  • Communication
  • Data visualization
  • Critical thinking

Lastly, you’ll want to include any relevant awards or achievements you’ve earned for your data analytics work.

And that’s it! That’s all there is to writing the best data analyst resume.

Can I get someone to write my data analyst resume for me?

Little bit overwhelmed by all of this resume advice? Do you need someone to help you out? Try Leet Resumes. We will write you a personalized data analyst resume for free (tips are appreciated).

You have nothing to lose and a whole career to gain.

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