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Data Analyst Resume Examples And Tips

Finding the inspiration to write an awesome resume can be tough. You may want to tailor it to fit a specific job description. Or maybe you're having a hard time deciding what job experiences to include. Everything that goes into creating a perfect data analyst resume can take hours, days, even weeks. All of that work for an employer to take a glance. Studies show that employers only spend about 5-7 seconds looking at a single resume. No pressure or anything, but that leaves you with about 6 seconds to make an impression.

Now, take a deep breath. We're going to figure out exactly what you need on your resume as a data analyst. Since we've looked over 61,216 data analyst resumes, we're close to being experts to knowing exactly what you need on your resume. No matter whether you're an experienced data analyst or an entry-level data analyst what you want to make sure the resume captures exactly what you can bring to the table, so let's hop to it.

Five Key Resume Tips For Landing A Data Analyst Job:

Relevant Experience
Make sure that the jobs, experience, and accolades that you do include are relevant to the position you’re applying for.
The Right Skills
This is a great time to run wild with those keywords found in the job description. If they’re looking for someone with Database, be sure to list it as a skill.
Quantifiable Achievements
Achievements and awards relevant to the position speak louder than a high GPA, especially if you can quantify your achievement with a number.
Your Unique Qualities
Recruiters and hiring managers are looking at hundreds of resumes. Let yours stand out, and try not to sound too boring.
Strong Content
If you’ve had a lot of jobs, this shouldn’t necessarily be a list of all of them. This is a document designed to market you to a potential employer, so choose the strongest content.

Data Analyst Jobs You Might Like

How To Write A Data Analyst Resume

Contact Information

Sometimes it's easier to take small, baby steps instead of tackling an entire task. By breaking it down, you can keep a checklist and check things off the list as you go. This will give you a sense of accomplishment. With that being said, the first thing we'll tackle is your contact information.

Your Name: The first thing to focus on is making sure you get your name on the resume. In terms of formatting, it's in a larger font than the rest of the resume. With only a few seconds to really impress, you want to make sure the employer knows who you are.

Address: If you're applying to a local area, it's a good idea to put your complete address here. Or at the very least the state you reside in. However, if you're applying out-of-state, you may want to leave out your home address. Some employers won't consider you if you have an out-of-state address.

Social Media: Living in the day-and-age that we do now, social media plays a big part in our every day lives. That includes what we put on our resumes. If you're going to include your LinkedIn profile, which is highly recommended, you'll want to update the profile so it has relevant information.

Professional Summary (Objective)

This is one of those things that you can take it or leave it. Not every data analyst resume includes a professional summary, but that's generally because this section is overlooked by professional writing services. If you have the space to include it, you should. Especially considering you have such a short time to impress anyways. The key to this section is keeping it short and sweet while summarizing the resume. You know your professional summary is on point if you can answer these questions:

  • Why should this employer hire you?
  • How does this particular position align with your career goals?
  • What specific experience or skills make you the perfect fit?


Not sure which skills are really important?

3 Big Tips For Listing Skills On Your Resume

This is where you might want to refer to the job description of the position you're applying for. While you only want to include skills you actually have, you might be able to tailor your resume to each job you're applying to by looking at what skills they're looking for and including those on your resume.

If you haven't started your job search just yet, then you might find looking at other data analysts resume examples to be helpful. We found that the most common skill amongst these resumes was data analysis. This skill was followed up by procedures. When you're writing your skills section, you should keep this in mind:

  • Include 6-12 skills
  • Only list hard skills; soft skills are hard to test
  • Highlight your most impressive skills or achievements
Remember, you'll want to stay truthful about what skills you actually have. But don't be afraid to use that job description to your advantage.

Top Skills for a Data Analyst

It can get a little tricky when it comes deciding what to include in your experience section. From the amount of experience you have to what type of job you're applying for, lots of factors need to be taken into consideration.

When you're applying for a job you want to keep in mind that any experience you list should be relevant to the position you're applying to. Also, be sure to nix any experience outside of the past 10 years.

When you're writing about your roles and responsibilities in each position, you'll really want to keep each experience detail-oriented. If you can, include numbers to show how great you were in that position.

What experience really stands out on resumes?

Pavel Chernyavskiy Ph.D.

Assistant Professor of Statistics, University of Wyoming

Good software skills (R, Python, C++, etc.) are pretty standard at this point, so applicants should aim to differentiate themselves in other ways. I like to see applicants demonstrate evidence they have been involved in a project: for undergraduates; this might be a poster presentation or a capstone project; for graduate students, this might be co-authorship on a published manuscript thesis work.

I value teaching experience since it usually implies that the applicant is a good communicator who can figure out how to manage a classroom and work with a range of stakeholders.
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Work History Example # 1

Project Coordinator

Granite Telecommunications
  • Helped Manage a 115 multi-site rollout project for Americold Logistics VoIP phone conversion.
  • Used Visio to map out cube configurations.
  • Developed process flows via Visio.
  • Maintained accurate retail inventory levels through EOW to ensure that AB product was always in stock.
  • Championed reorganization efforts for department knowledge base articles to assist with IT support procedures.

Work History Example # 2

Data Analyst

Accenture Federal Services
  • Worked with SMEs to elicit and document the Business Rules and requirements for business processes.
  • Designed dashboards based on requirements.
  • Designed custom validators in Java back end for constraint validations on various data fields.
  • Created SSIS packages to import data from different data sources.
  • Executed and implemented complete SDLC for enterprise Systems (ERP applications).

Work History Example # 3

Finance Internship

Turner Broadcasting Sales
  • Worked with the Senior Financial Analyst on budgeting, forecasting and reporting of financials through the use of Hyperion.
  • Worked through PeopleSoft on variety of expense and non- expense projects alongside the accounting manager.
  • Created ROIs for all capital projects with a threshold greater than $50k.
  • Streamlined existing processes and deliverables using Hyperion Essbase/Excel/Powerpoint.
  • Involved contract analysis and interpretation leading to profit leveraging and functionality in relation to negotiation details.

Work History Example # 4

Operations Internship (Part-Time)

  • Assisted in the early testing of the Procurement Compliance SharePoint.
  • Devised and implemented communications processes and knowledge transfer between the India team and our U.S. based team.
  • Trained 10-15 new testers and repair technicians per month on proper procedures.
  • Employed RDP or KVM for remote troubleshooting purposes.
  • Aided in troubleshooting/recovery tasks such as server hang issues, failed drives, connection issues, and failed scripts.

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While this section may not be the largest section on your resume, it is an important one. Many employers will spend time looking over this specific section, so you'll want to make sure you have it filled out accurately.

In your education section, there are certain things you'll want to highlight, including:

  • Date of Graduation
  • Graduate Degree
  • Any Work-related Education Certificates
  • Name of the School
  • GPA (optional)
Every employee is going to look for something different when it comes to your education section. So it's important to highlight what you think they'll be looking for. Make sure to thoroughly read through the education requirements listed on the job description. It should include exactly what they're looking for. There are some things you need to keep in mind while writing your education section.

  • If you graduated within the last 5 years, make sure your education section is either in line with or above your experience section.
  • Include the date you graduated, or range of years you attended school, as well as any honors you received and your GPA if it was over 3.4.
  • If it's been longer than 5 years since you graduated, then it's okay to move your education section down below your professional experience. You really want the focus to be on your experience at this point.
  • If you have multiple advanced degrees, such as Master's or Doctoral degrees, rank them with the highest degrees first.
  • If you haven't graduated yet, you should still include an education section. List the name of the institution, degree type and when you're expecting to graduate.

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Related Data Analyst Resume Templates

Data Analyst Jobs

Data Analyst Salary

Did your resume land you an interview? Be prepared to talk salary.

How To Answer "What Are Your Salary Requirements"

When you are ready to send your resume to employers, it's important to be aware of the current market conditions for data analysts. Salary can vary based on factors such as location, company, and industry. Check out our detailed salary information for data analysts to learn more.

Average Employee Salary
Updated October 2, 2020