Data Analyst Resume Examples to Inspire You

Data Analyst Resume Examples to Inspire You

At a time when the world is plagued by rising unemployment stats, companies are still eager to get their hands on attractive data analyst resumes.

While it may seem illogical, the COVID-19 pandemic has sparked a demand for services such as data analysis, data analytics, data mining, data visualization, and data warehousing. 

Now more than ever, businesses across the globe are understanding the importance of stripping apart the complexities of their data in order to make informed strategic decisions that’ll impact the success of their operations in this volatile market. 

However, a rise in demand spells a rise in applications for data analyst jobs, and in all fairness, recruiters and hiring managers don’t have the time to mull over your resume for hours on end. 

In fact, a study from The Ladders pointed out that recruiters only need 7.4 seconds to make up their minds about a given resume when they have an active job search. 

For that reason, data analysts need to put out curriculums that catch a recruiter’s attention. 

This is exactly what I’m going to be looking at today. 

Join me as I break down some inspirational data analyst resume examples and the elements that you can take away from them to help frame your own resume.

Data Analyst Resume: Being Clear About What You Do

Before we get into the nitty-gritty regarding possible resume templates that you can use, let’s be clear on what data analysts do.

I feel compelled to do this because some analysts make the mistake of framing their resume as if they were advertising themselves as professionals in data science, such as business intelligence analysts or even data scientists themselves. 

I understand the challenge of distinguishing between these types of fields when reviewing job descriptions as they are similar in many respects.

However, the fundamental difference is that a data analyst does not directly participate in the selection of strategic decisions for the future of a company. Business analysts and data scientists work alongside business executives and board directors to determine company strategies. 

Data analysts focus on using data analysis processes to break down complex data into understandable information which someone can then leverage to make a decision. 

For that reason, you will notice that the language used in the resumes that we will be looking at will not make reference to the data analysts making decisions on behalf of their respective companies, rather, that their data analytical skills were used to positively impact the progress of the company.

Having said that, let’s get straight into the first data analyst resume example.

Credits: Zety

The first example we’re going to discuss has been provided by Zety, an online resume builder.+

In the original data analyst resume sample template, Zety contrasted an example of a subpar data analyst resume with that of a good one, hence the reason for the green tick in the photo.

Needless to say, I share the same sentiments as Zety. In my judgment, this data analyst resume is fully deserving of the recognition that it’s gotten.

For starters, the header of the resume consists of a short, three-lined introduction of the candidate where he summarizes his profile and highlights his strong points. 

While this is standard practice, what stands out about it is the choice of language used. 

When drawing up resumes, applicants make the elementary mistake of either excluding this paragraph or not paying attention to their word choice. 

Note how the candidate sums up not only his experience but also uses powerful phrases and verbs to position himself as a desirable candidate. 

For example, he inserts keywords and phrases such as “increase sales revenue”, “process-oriented”, and “reduced costs” to resonate with the likely needs of a business.

Similarly, it’s important to highlight that throughout the resume, when speaking about his accomplishments, the candidate never says ‘I’. As you may know, not only does the repetition of ‘I’ in a resume come across as a narcissistic trait to some resumes, it’s also a bit overbearing.

Instead, he substitutes it with action verbs such as ‘managed’, ‘spearheaded’, ‘tracked’, and ‘analyzed’.

Also, when discussing his experience, he makes particular mention of how his role as a data analyst impacted positively on the company by mentioning the milestones that he has been able to achieve. 

Needless to say, in terms of the resume template itself, organizing both the candidate’s personal information, soft skills, and technical skills under one aesthetically-pleasing column helps to add that touch of class and professionalism that a resume needs.

Credits: ResumeKraft

The next resume we are going to discuss is brought to us by Resume Kraft

Unlike the previous one, this particular resume template is geared towards senior data analysts.

All in all, there are several similarities between this data analyst resume example and the previous one. 

In both cases, the candidates begin her data analyst resume summary of their professional achievements. Once again, it’s important to highlight that the candidate makes explicit mention of the type of projects that she has worked on. 

That way, she merges both her work experience and her expertise into one single paragraph. 

While she does use the word ‘I’ twice in the resume, she does so sparingly. Therefore, it does not come across as if she is positioning herself as an overly boastful person. 

One of the main differences between the two resumes is that here, Samantha Ruth includes short bullet points below the executive summary of her profile to bolster her opening statement and provide some quick tidbits about what she has done. 

While some might argue that she could have included this in a separate section, what is undeniable is that she’s placed it in a conspicuous place that’s bound to get the recruiter’s attention. 

It all boils down to a stylistic choice. I do not think that including it hurts her application in the slightest.


I’m going to round up this walkthrough with a resume sample that’s featured on

All in all, the general layout and content structure mirrors that of the previous two resumes that have been looked at. 

Here, we see Bethanne Stevens employ the same language choice that has been seen before, namely omitting ‘I’ from the resume, instead substituting it with action words such as ‘performed’, ‘created’, and ‘presented’. 

The only element of this resume that needs beefing up is the section titled ‘Education’, particularly where she says ‘Graduated in the top of my class’. Here, she could have stated her G.P.A. since, without that extra bit of information, the statement comes off as slightly brash. 

However, apart from this small hiccup, this resume is in keeping with what data analysts should strive to put out.

 Data Analyst Resume Examples: Key Takeaways

All in all, as a data analyst in a highly competitive niche, it is your duty to stand out. 

Otherwise, you run the risk of having your resume swept under the rug or overlooked by a recruiter. 

The best way to do that is to frame your resume in the best way possible. 

Be sure to create a resume format that includes the following: 

  • Be assertive in your speech by using as many power-related action words as possible. 
  • Avoid repeating ‘I’ throughout your resume as it can send a negative message. 
  • Include a brief introductory paragraph summarizing your skills and professional experience. 
  • Make mention of your problem-solving and statistical analysis capabilities in the data analyst skills section of the resume.
  • Don't hesitate to state the number of years of experience you have in the field in the experience section.
  • If you have experience managing a department, make mention of the number of team members you supervised.
  • Include any relevant soft skills such as time management.
  • Add the link to your LinkedIn profile in the contact information section of the resume.
  • Make mention of any important big data modeling technical skills like data management, project management, proficiency in programming languages like SQL, Python, as well as whether you can use Microsoft Excel, SAS, and Tableaus. 

Your resume objective is to be the best candidate for any job application.

In short, go through the resume examples that are listed in this post and extract the good elements and help refine your resume writing skills. 

Use them to position yourself as the ideal data analyst for any business looking for someone with your credentials.


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