Data Analyst Resume: Your Complete Guide

Brandi Glass
9 min read

Data analysis is a field with tough competition. Due to the influx of new technologies like machine learning and AI, there is also a high demand for your profession and skillset. But the task of getting a job in this hot market may seem daunting if this is the first time you’ve put together a resume or if yours needs significant rework.

In this article, we’ll cover different ways you can create a professional and effective data analyst resume. We’ll also provide a data analyst resume sample, as well as examples of how to approach every segment, from the header to your certifications.

By the end of this article, you’ll know more about how to approach data analyst resume templates, thanks to data analyst resume examples and our top tips and tricks to be more visible during your job search.

General Tips for Data Analyst Resumes

One of the best ways to approach your data analyst resume is to look at multiple job postings and read through their requirements. Usually, you’ll start noticing a pattern with the keywords, skills, and general qualifications that are mentioned. Now is the time to start tailoring your resume to match these requirements. You may even want to create two or three resumes tailored to different jobs under similar categories.

The best way to catch a recruiter’s attention is to use the keywords listed in the job description in your resume. When you incorporate them into your resume, the Applicant Tracking System (ATS) notes them. This system is likely to suggest your resume to the recruiter when multiple keywords match.

The second factor to remember when working on your resume is to pay attention to how you structure it in terms of your overall formatting. Avoid flashy fonts or unusual data analyst resume templates. These formats don’t transmit well when scanned by ATS systems, causing sentences to jumble and decreasing your chances of reaching a recruiter.

To avoid this issue, use a data analyst resume from Rocket Resume. Rocket Resume’s data analyst resume templates pass ATS systems with no issues, so you can take advantage of professional formatting in just minutes.

Something to look out for when working on your resume is proper spacing and font size. The ideal format has plenty of space between sections – but not too much that they seem disconnected. Your font size should also be traditional and large enough to read.

Finally, try to highlight any relevant experience you have on your document, whether you’re working on an entry level data analyst resume or an experienced data analyst resume. If you have special licenses and certifications, include a separate segment in your data analyst resume that lists them.

Essential Components of a Data Analyst Resume Template

Multiple types of data analyst resumes exist, which can make it difficult to determine which one suits your needs. In cases where you need something niche or specific, like a healthcare data analyst example or a Python data analyst resume sample, you can check specific data analyst resume examples online for an idea of what to include.

If you are an entry-level analyst seeking an internship, you can create a data analyst internship resume using a format similar to the one below.

Jane Smith

(123) 456 – 7891
LinkedIn Profile

Curious, certified, and innovative Data Analyst with 4+ years of experience deconstructing data-driven insights to drive business improvement and optimize performance. Proficient in statistical analysis and predictive modeling. Seeking a challenging position in a diverse environment to utilize my analytical skills and passion for transforming complex datasets into strategies to propel organizational growth.”


  • Data visualization
  • Python
  • Microsoft Power BI
  • Microsoft Office Suite
  • Google Sheets
  • SQL Server Databases
  • TSQL queries
  • Strong critical thinking and analytical skills
  • Excellent communication skills
  • Ability to work independently or as part of a team


Bachelor of Science in Data Science – Example University – Brooklyn, New York

Graduation Date: 2019


Business Data Analyst | Example Company – June 2019 - May 2023

  • Developed data analysis strategies to improve reporting quality and consistency, resulting in a 15% decrease in inaccuracies.
  • Developed and maintained analytical systems, leading to a 10% efficiency boost in data processing
  • Extracted data, cleaned, and performed analysis using SQL, resulting in improved data integrity
  • Collaborated with cross-functional teams and provided detailed reports to support strategic planning and implementation.
  • Worked closely with the marketing team, providing analytics support for campaign tracking and ROI analysis
  • Helped create a comprehensive dashboard using Tableau, presenting key business metrics and insights resulting in an informed decision-making process.

Certifications and Licenses

IIBA Entry Certificate in Business Analysis – IIBA – 2020

Tips for Writing Each Section of the Data Analyst Resume Template

data analyst on a laptop

Every part of your resume has a purpose, making it essential to work on each segment with care for the best results.


Your header should clearly depict your name in large font and include your contact information. List your name, professional title, and contact information, including your phone number, email, and LinkedIn profile.

Professional Summary

The professional summary segment is where you list your most notable achievements. It’s a brief look at your skills that gives recruiters a glimpse of your qualifications. Keep this segment short and include licenses only if they’re significant in your field.

One tip is to align your professional summary to the job posting. So, when applying for a ‘Senior Data Analyst’ role, you could write, “Experienced Data Analyst with a strong background in SQL, data mining, and predictive analytics, seeking to leverage my expertise in a senior role to bolster business growth.”


In this section, list relevant technical and soft skills for the job. Common technical skills for data analysts include proficiency in data mining tools, SQL, Python, and data visualization software like Tableau.

For soft skills, consider including problem-solving and communication. For example, if a job description for a ‘SQL Data Analyst’ role repeatedly mentions SQL skills and data visualization and you have these skills, feature them prominently in your resume.


In the education section, list your degrees in reverse chronological order. You should start with the most recent degree if you have more than one. If you just graduated, you could include your GPA if it’s particularly strong or any relevant coursework that shows your experience.


This segment allows you to showcase your achievements and demonstrate your value. List your roles in reverse chronological order when working on this segment. Describe your responsibilities and accomplishments for each role, quantifying your impact if possible.

Licenses / Certifications

Certifications and licenses demonstrate a commitment to keeping yourself updated in the field and prove your interest in professional growth. Include a separate section listing the certification, granting institution, and the date of receipt.

How to Customize Your Data Analyst Resume Template for Specific Jobs

Pay attention to the most frequently mentioned skills, qualifications, and responsibilities in the data analyst job postings you’ve reviewed, as these are typically the most important to the employer. Customizing your data analyst resume is essential to align your skills, qualifications, and experiences with the role’s requirements.

For example, if the data analyst job description requires Power BI and Excel proficiency, include these in your skills section if you have them. Highlight past roles, projects, or achievements that directly align with the job requirements.

So, if you’re applying for a healthcare data analyst role, emphasize any experience you have with health data, medical databases, or related projects. For a business data analyst resume, notable experiences may include business intelligence, data mining, business analytics, and business process improvement.

Finally, keep in mind that specific industries often require certain specialized knowledge. If you’re applying for a financial data analyst or a marketing data analyst role, highlight your relevant industry knowledge and experience. Whether you’re writing a junior data analyst resume or something as complex as a clinical data analyst resume, always include a targeted objective, relevant skills section, and experience section highlighting your best achievements.

Additional Tips and Tricks for Crafting a Strong Data Analyst Resume

As soon as your resume draft is complete, review it thoroughly to ensure that it is error-free, accurate, and lacks typos and grammar issues. Look particularly for typographical errors, spelling blunders, and misused jargon. Then, move on to your work experience to check whether you used keywords correctly and if you added your best contributions.

One way to ensure you have a professional and well-structured data analyst resume is to use a template from Rocket Resume. Rocket Resume has multiple templates that align with different aesthetic and professional requirements.

Setting up an account and starting on your resume on Rocket Resume’s platform is easy and hassle-free. Once you find a template, answer the prompts, and enter your information. In a few minutes, your data analyst resume is ready to use.

Once you send out your resume, following up with the employer is a good idea. The usual wait is about a week if you do not hear back from a hiring manager.

How to Apply for Data Analyst Jobs

data analyst resume template

Now that you have a professionally formatted resume from Rocket Resume, the final step is finding jobs that align with your aspirations and experience. The easiest and most common way to look for a job nowadays is to use job boards, as they list numerous and updated opportunities across various industries, helping you find a match.

Another way to find jobs is to use social networking platforms like Facebook and LinkedIn. The more connections you have and groups you join related to data analysis, the higher your chances are of hearing about a job through the grapevine or finding a good opportunity.

The field of data analysis also has niche job boards that offer plenty of analytics jobs. These platforms cater specifically to data professionals and list specialized roles you might not find on traditional job boards.

Don’t forget to visit company websites, especially those known for hiring data analysts. Tech companies, consulting firms, financial institutions, and healthcare companies are some industries that frequently hire data analysts.

You can also find jobs by participating in industry conferences, meetups, and online forums that open doors. These opportunities allow you to network with industry professionals and possibly get a referral, significantly increasing your chances of securing a job.

If all else fails, you can benefit from working with recruiting agencies specializing in tech jobs. These agencies have relationships and exclusive placement opportunities with companies and can help match you to jobs that fit your skill set.

Frequently Asked Questions (FAQs)

How to prepare a data analyst resume

To prepare a data analyst resume, highlight your expertise with relevant tools and methodologies, showcasing your industry knowledge, problem-solving, and communication skills. Also, include any education, training, or certifications you have that are relevant to the position.

What should a data analyst put on a resume?

A data analyst should include proficiency in data analysis tools, statistical techniques, data visualization, and reporting tools. You should also mention experience in collecting, processing, and cleaning data, problem-solving abilities, and relevant projects or accomplishments.

How to write a profile summary in a resume for experienced candidates for data analyst roles

An experienced data analyst’s profile summary should concisely encapsulate their years of experience, core skills, areas of expertise, and key accomplishments. It should paint a picture of a professional who collects, analyzes, interprets, and draws insights from complex data.

What to write in the objectives in a data analyst resume?

In your resume objective, briefly outline your career goals, including your desire to use your data analysis skills to help the company make data-driven decisions.

What is a good data analyst resume right now?

A good data analyst resume highlights technical proficiency, relevant experience, and critical skills like problem-solving and communication.

How to build a strong data analyst resume

Building a strong data analyst resume involves showcasing your skills, listing your experience, and demonstrating how you used data analysis to drive tangible business improvements.

How to format a resume for a data analyst

The format of a data analyst's resume should be clear and professional. Start with your contact information, followed by your profile summary or objective, then your work experience, skills, education, and any relevant certifications or projects.

How to list job performance accomplishments on a data analyst resume

List job performance accomplishments in the work experience section of your resume. Whenever possible, use quantifiable examples. Estimations may also be appropriate in some cases if you don’t have access to data on project outcomes.

How long should my resume be as a data analyst?

Your resume should not go over two pages. Although in some cases, exceptions are possible depending on your role, the general rule is to keep it short and relevant.

What to put on your resume if you are looking for a career change into a data analyst?

If transitioning into a data analyst role, highlight any transferable skills you hold, like problem-solving, statistical analysis, and IT skills.

How to put a capstone or project section on a data analyst resume

You can place a capstone or project section under a header in your resume towards the end. List the project title, a description, and specific outcomes or results, focusing on those demonstrating your data analysis skills.

How to write a resume having data analyst and data scientist skills

In writing a resume with data analyst and data scientist skills, you must clearly distinguish and emphasize these skill sets.

Highlight your data science skills like machine learning, predictive modeling, and programming. Provide examples and measurable achievements in your work experience, including any relevant projects or certifications.

A great data analyst resume helps get your foot in the door for lucrative positions, and our data analyst resume template can help. Learn more about how Rocket Resume can help you create the perfect data analyst resume for any stage in your career journey.