Entry Level Data Analyst Resume Summary Examples

In case you just want some examples or inspiration here are some summaries you can borrow. If you want more info on how to write an effective one yourself check out the rest of the article below or set up a Career Breakthrough Consultation with me.


Here are 40 other resume summary examples that aren’t specific to data analysts but still might be helpful.

STEM Degree – Recent Statistics major graduate:

Aspiring data analyst with a strong math and statistics background and extensive experience analyzing data through rigorous course work. Over two years of academic experience using data analysis software such as R and Python as well as experience wrangling data in Microsoft Excel. A self-starter who can dig into the technical details but also has no problem explaining things to non-technical stakeholders.

Non-STEM Degree – Recent Psychology major graduate:

Recent graduate who already posses many import data analyst skills which were obtained through self-study and relevant courses. Strong communicator who excels at listening to others and finding ways to solve their problems with data. Completed several data analyst projects including an extensive analysis on the effects of sleep deprivation on student grades.

No Degree:


Self-taught analyst with a well rounded set of both hard and soft skills. Completed several noteworthy certifications for data analysis tools such as the a Python course on Coursera, Kaggle’s courses on SQL and Machine Learning, and Tableau’s Data Analyst Certification. Spent time in the food service industry and was consistently recognized for outstanding commitment to customer service and a willingness to go above and beyond.


Introduction

To land a job as an entry-level data analyst you’ll need a resume that stands out. This often means including a professional summary, even if you don’t have much work experience yet.



A strong summary can make up for a lack of job history and help hiring managers to see why you’re the perfect candidate for the job.



In this blog post, we’ll discuss what makes a great summary and how to write one that will help you get the job you want!



After you read this article check out some of our other posts that include full data analyst resume examples.

What is a Resume Summary?

Your summary is a brief overview of your professional experience and skills and is one of the most important aspects of your resume. This section gives employers their first impression of you, and if it’s not strong enough, they may not bother reading the rest of your resume.

Not everyone uses a summary in their resume. However, those who don’t are missing out on a powerful way to catch a hiring manager’s attention.

My Actual Resume 

Should Entry-Level Resumes Have a Summary?

You might be asking yourself “Wait a minute! I’ve never had a data analyst job. I don’t have any experience which is why I’m applying to entry-level roles. Should I even have a resume summary?”


The short answer is YES! Even if you don’t have any professional experience a summary is still important to include on your resume. It’s a great way to show off your skills and explain why you would be a good fit for the job.

Why a Summary over an Objective?

Unlike a resume objective, which states what you’re looking for in a job, a summary tells the employer what you can do for them. A summary is also much easier to customize for each position you apply to, whereas an objective is usually the same for every application.

A data analyst resume objective might say something like:

“To secure a position in a company where I can use my SQL and Python skills to analyze data and make a contribution to the organization.”

This is fine, but it doesn’t really tell the employer anything about you or what you can do for them.

A summary, on the other hand, might look like this:

“Aspiring data analyst with experience working with large data sets and a strong understanding of statistical analysis. Proven ability to find trends and patterns in data and communicate findings to non-technical staff.


This tells the employer that you have the skills and experience they are looking for and that you will be able to hit the ground running in this role.

What Makes a Good Summary?

1. Start with a strong opening sentence that captures the reader’s attention

The first sentence of your summary is the most important. You want to grab the employer’s attention and make them want to read more.

A good way to do this is to start with a strong verb such as “developed,” “created,” “managed,” etc. For example, instead of saying “I have experience working with data,” say “Developed a strong understanding of statistical analysis while working with large data sets.” This shows that you have experience and are capable of doing the job.

2. Summarize your skills and experience in a clear and concise way

Your summary should be a quick overview of your skills and experience. You don’t want to list every single thing you’ve ever done in your life, but rather focus on the skills and experiences that are relevant to the job you’re applying for.Think about what the hiring manager is looking for and tailor your summary to match their needs.If you have experience working with certain software or tools that are listed in the job description, briefly mention those technical skills here.Be sure to use strong verbs and adjectives to describe your skills and experiences.Don’t just say “I have experience with Excel.” Say “Proficient in Excel and have used it to develop complex financial models and analyze data.”This shows that you not only have experience but that you know what you’re doing and are good at it.

3. Highlight your most relevant achievements

In your summary, you should also highlight your most relevant achievements.

If you have any awards, recognition, or certifications for your work with data, mention that here.

You can also include any publications, presentations, or academic projects you’ve done on data-related topics.

This shows that you are not only knowledgeable but also experienced in the field.


4. Use keywords that will catch the reader’s eye


The best way to make sure your resume summary stands out is to use data analyst resume keywords that the hiring manager will be looking for.

You can find these keywords by reading the job description and then using them throughout your summary. These will typically have to do with actions take from analysis, clearly communicating technical concepts in non-technical ways, working with various technologies, and support users.

This will help you to catch the reader’s attention and make sure your resume doesn’t get lost in the pile.


5. If necessary cut the length down to 5 sentences or less


This one is pretty self-explanatory but don’t be too verbose with your summary.
While you might be tempted to put a lot here to make sure you cover all of your bases in this case short and sweet is best.


Keep your summary to 5 or fewer sentences and make sure it doesn’t take up more than 4 lines on your resume, especially since as an entry-level applicant you should be targeting just 1 page total.

What are the Elements Unique to Entry-Level Data Analysts?

While every summary should be unique to the individual certain elements should be in every data analyst’s summary. These include:

-How you’ve used data analysis to take actions or solve problems (not just find answers)

-Your analytical/critical thinking skills

-Customer service or user experience

-Communication skills

-Some sort of technical prowess

First or Third Person?

When writing a resume, it is acceptable to use either first or third person point of view. First person POV uses “I” statements and makes the reader feel like they are having a conversation with you. This can be less formal but some employers may see this as unprofessional.

Third person POV uses “he/she” statements, or in many cases speaks without using pronouns, and sounds more formal. This is the point of view that is typically used in resumes and gives the reader a sense of detachment from you.

I personally always coach my clients to use third person but which one you choose is up to you. The key thing is to be consistent throughout your resume.

Whichever POV you choose, make sure to stay professional.

The Bottom Line

If you want to land your first data analyst role, it’s important that your resume stands out.
One way to make sure your resume is strong is to have a powerful summary section. Even if you don’t have experience yet, you can still highlight your skills and strengths in this section.
Follow the advice in this blog post or contact me for help crafting a resume that will make you stand out to employers.