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Data Analyst Resume Examples: 5 Best Samples & Why They Work

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Are you struggling to attract a potential employer for your dream data analyst position?

You’re not alone. Data analytics is one of the most lucrative and competitive jobs today. It’s hard to break into the market, but don’t worry! We’ve made a writing guide to help in your job search.

With the proper skill and our data analyst resume format, you’ll be able to stand out from the competition and attract even the most experienced hiring manager.

Below are the 5 best data analyst resume samples that you can make for each experience level.

Example 1: Data Analyst Resume

Let’s start with a general data analyst resume example. The focus here is that the resume matches the job description your potential employer posted.

At the same time, you’ll recount your whole professional experience from your previous work.

Data Analyst Resume

Why We Suggest this Resume

This resume is great because a hiring manager can easily see previous work experience at a glance. It also features licenses and accreditations of the applicant.

  • Type of Resume: Data Analyst Resume
  • Best For: Those looking for data analyst jobs

Work Experience 1

HKY Food Inc. – San Francisco, California – 2019 to present

Data Analyst  

  • Extracted and aggregated data from the procurement chain domain using SQL; created insights based on exploratory data analyses using Tableau, SQL, and Google Sheets.
  • Reviewed and assessed potential issues based on data analyzed using R.
  • Analyzed data and converted it into visuals. Conducted reports for upper management and the business department.
  • Summarized all data and ensured correctness; shared accurate information with stakeholders.
  • Collaborated with the purchasing, warehousing, and distribution departments to further streamline processes.

Work Experience 2

Fintech Corporation – San Jose, California – 2018 to 2019

Junior Data Analyst

  • Was put in charge of data entry for invoice tracking and product costs.
  • Assisted in maintaining data that’s related to the invoice, costs, and SIP analytics; conducted technical writing of team processes.
  • Developed cloud-based AI applications together with the team lead.
  • Did auditing of internal systems and reported issues to supervisors.
  • Performed ad hoc analyses and executed all assigned tasks.

Project Experience

  • Created and maintained automated reports for HKY Food Inc.’s planning and procurement teams. Automation resulted in the complete removal of manually typing and checking reports. This reduced the chances of human error.
  • Performed predictive analysis of vendor prices. The program takes season, demand, weather, oil prices, and other information into account. Created another analysis that forecasted the demand for HKY Food Inc.
  • Undertook massive data cleaning for Frantech Corporation and helped set up processes to maintain the systems.


  • Trained and experienced with using R and SQL
  • Familiar with Google Analytics, Google Suite, and visual tools like Tableau
  • Organized, with great time management skills
  • Exceptional oral and written English skills
  • Fast learner and adaptive to new technology


Undergraduate Major in Computer Science

California Institute of Technology

2014 to 2018

Licenses & Accreditations

  • SQL Training Certification
  • Google Analytics Professional Certificate
  • IBM Data Analyst Professional Certificate

Why This Resume Works

As data analysts know, keywords are fundamental for bringing more activity to a website. Similarly, it should be a priority that your resume includes the right keywords to attract employers.

The first thing that you should do is to write the words “Data Analyst” at the beginning of your resume.

This is what employers will immediately type in when searching for potential employees. Doing this on your resume will help you become visible in a competitive market.

Aside from this, start your resume off by writing all your experience with different programs.

Employers will look for individuals that have training in the same languages that the company uses. You’ll be more lucrative if they see that you’ll need little to no training for their software.

Example 2: Entry-Level Data Analyst Resume

Data analysis is growing in popularity as it takes its place among the highest-paying tech jobs today.

Competition is tough for fresh graduates without any experience. Here we have a resume sample to help you bag that dream data analyst job.

Entry-Level Data Analyst Resume

Why We Suggest this Resume

This resume is great for a data analyst graduate because it highlights internships that were done by the applicant when in school. If you do not have internship experience, you can write the data analyst projects you did while in school. 

  • Type of Resume: Entry-Level Data Analyst Resume
  • Best For: Data analyst graduates applying for entry-level jobs

Work Experience 1

Butterfly Cosmetics Group – Tampa, Florida – March to April 2022

Data Analyst Intern

  • Collected data for sales and marketing reports.
  • Analyzed customer voice chat data.
  • Created dashboards on Tableau with the data provided.
  • Analyzed KPIs and metrics for stakeholders.
  • Accomplished data cleaning when necessary.

Work Experience 2

WestBeach Pet Store – Tampa, Florida – April to May 2022

Marketing Data Analyst Intern

  • Conducted local marketing assessments and came up with strategies to meet sales goals.
  • Assisted in analyzing reports from competitor businesses.
  • Translated business needs into analyses and made it easy to understand customers.
  • Accomplished problem-solving through an analytics approach.
  • Recommended changes to marketing and sales procedures based on trends and data analyses.


Bachelor of Science in Business Information Technology

The University of Tampa

2017 to 2022


  • Proficient in MS Excel, Word, and Powerpoint
  • Capable of using Tableau for creating reports
  • Has good leadership skills and takes initiative in various social events
  • Has basic knowledge of business analytics, marketing, and statistics
  • Can multitask and work in a fast-paced environment

Extra-Curricular Activities

  • Became an active member of the American Marketing Association AMA from 2019 to 2022.
  • Participated as an officer of the Active Minds Student Organization. Was in charge of planning three official events.
  • Attended the “Cybersecurity and the Geopolitics Data Routing” training last October 2021.
  • Took part in the Data Analyst Boot Camp coordinated by the BS-BIT program head.


  • Graduated with honors with a cumulative GPA of 3.51
  • Received the Outstanding Student Award in BS-BIT Program
  • Consistent Dean’s Lister through all 4 years of college

Why This Resume Works

Most workplaces will look for people with relevant training before hiring. As a fresh graduate, that doesn’t mean that you don’t have work experience!

Your extra-curricular activities during college are good additions to your resume. Any internships that you did will also help bulk up your resume.

For fresh graduates, you’ll have to choose the right length for your resume.

A one-page resume might be to your disadvantage. You should aim to have a resume with two pages. It’ll let your potential employer feel that you’re a motivated student.

To achieve the perfect length, you should list down the most important seminars you’ve attended. You can write down positions you held at organizations, and even indicate awards you received in school.

The most important thing for entry-level data analysts is honesty.

Don’t worry if you’re not that familiar with many of the programming languages. Most recruiters expect this. You should instead emphasize your trainability and eagerness to work for the company.

Example 3: Senior Data Analyst Resume

As you become more experienced, your impact on the company you’re working for also increases. A senior data analyst’s resume should reflect his professionalism by quantifying his achievements.

Here’s a sample resume that’ll impress job recruiters.

Senior Data Analyst Resume

Why We Suggest this Resume

In this resume, we made use of firm figures to showcase the impact the candidate made on previous workplaces. We did this by quantifying achievements. This means that you should add a number to the work that you do.

  • Type of Resume: Senior Data Analyst Resume
  • Best For: Experienced data analyst applying for senior-level jobs

Work Experience 1

American Animal Welfare Organization – Saint Paul, Minnesota – 2016 to present

Senior Data Analyst

  • Determined effective fundraising efforts and increased overall revenue by 10% in one year.
  • Streamlined the process of identifying major donors and improved digital fundraising using SFDC data. Increased donors by 8%.
  • Ensured that SFDC data aligns with the systems and presented data solutions to higher management.
  • Managed the creating, updating, and deleting of the company’s master data.
  • Awarded as Best Trainer of the Year for junior analysts regarding quality control testing, data validation, and error diagnostics.

Work Experience 2

Shoreline Digital Media Company – Saint Louis, Missouri, 2013 to 2015

Data Analyst, News Division

  • Maintained the database of research information on interviews, stories, and statistics.
  • Identified points for data mining for inclusion in reports.
  • Interpreted and analyzed trends and patterns and prepared charts or visuals for news content.
  • Collaborated with journalists and writers to ensure the accurate reporting of news concerning the data.
  • Conducted regular clean-up of data.

Project Experience

  • Completed an overhaul of all the visuals for Shoreline Digital Media Company. Created a full guide and standards on how to generate various types of news charts.
  • Did part-time work as a Data Analytics Consultant for small-scale businesses regarding their social media.
  • Assisted Hamster Adoption Foundation, which is a start-up NGO to improve fundraising efforts. Collated information on adoption statistics and created visuals for use in marketing.


  • Experienced in SFDC, CRM Analytics, and SAP
  • Has mastery of MS Excel, Access, and Power BI
  • Possess an excellent grasp of programming languages like Python, R, and SQL
  • Displays strong organizational and leadership skills
  • Highly meticulous and patient when it comes to training junior analysts


Master of Science in Data Science

Maryville University

2015 to 2016

Bachelor of Science in Information Technology

University of Missouri

2009 to 2013

Licenses & Accreditations

  • Certified Analytics Professional
  • SFDC Certified Administrator
  • CompTIA Data Analytics Plus Certified

Why This Resume Works

In this resume, we made use of firm figures to showcase the impact you’ve made on previous workplaces. We did this by quantifying achievements. This means that you should add a number to the work that you do.

To accomplish this, you can indicate how much you affected sales or how many people you trained on your resume.

With a quantifying number, your credentials will look more legit and well-thought-out. Companies will always choose employees who can generate the best results.

Another selling point to this resume is the inclusion of unpaid projects.

To be a senior data analyst, you need to show that you’ve got several years of experience across different work environments. Writing down your side projects can be to your advantage.

Example 4: Data Analyst Manager Resume

A data analyst manager needs to have the technical skills to handle any situation.

That said, it’s more crucial that you focus on making the recruiter believe that you’re trustworthy. Your resume should reflect your competence to hold all the company’s confidential information.

Data Analyst Manager Resume

Why We Suggest this Resume

This resume concentrates on exhibiting the positive changes the applicant made in previous companies. It is also easy to read and it shows your capabilities as a team leader.

  • Type of Resume: Data Analyst Manager Resume
  • Best For: Experienced data analyst applying for managerial roles

Work Experience 1

Saffron Confectionery Corporation – Napa, California – 2018 to present

Data Analytics Executive

  • Directed a team of 12 data analysts and engineers; oversaw the analytics department.
  • Reviewed and validated collected datasets. Ensured that the data system kept up with industry trends and current business intelligence.
  • Monitored the analytics metrics and results.
  • Designed, deployed, and managed the company’s data analytics architecture.
  • Collaborated with the hiring manager to decide on competent applicants.

Work Experience 2

Saffron Confectionery Corporation – Napa, California – 2012 to 2018

Data Analytics Lead

  • Led a group of 6 data analysts to develop data that generated insights to support business initiatives.
  • Promoted teamwork; conducted annual seminars and training for recruits and other data analysts.
  • Configured and maintained BI tools.
  • Performed extensive data validation and quality control for every data asset the team released.
  • Presented findings to stakeholders; maintained good relations with stakeholders.

Project Experience

  • Implemented a department-wide quarterly training and seminar. Created tests to be taken after the seminar to ensure the competence of each data analyst and engineer in the team.
  • Created internal auditing and peer auditing within the department. Increased transparency and error found within the company.
  • Built a team to analyze the environmental impact of the company with the goal of minimizing its carbon footprint and reducing costs.


  • Capable of motivating and disciplining teams
  • Has a deep understanding of each individual’s capabilities and delegates tasks accordingly
  • Can immediately turn code and data into logical patterns and prepare data for analysis
  • Incredible attention to detail; able to see minute errors with the potential to turn into big problems
  • Equipped to come up with solutions to arising issues quickly


Master of Science in Business and Data Analytics

California State University

2010 to 2012

Bachelor in Statistics and Data Science

University of California

2005 to 2009

Licenses & Accreditations

  • Microsoft Certified  Power BI Data Analyst Associate
  • AWS Certified Data Analytics
  • SAS Statistical Business Analyst Professional Certificate

Why This Resume Works

Aside from the relevant skill needed to run a department of data analysts, the best companies will look out for managers who care for their work.

To achieve this, concentrate on writing about the positive changes you’ve made for your company and co-workers.

Employers will pick people who can prove that they have what it takes to transform the workplace for the better.

In addition, data analyst managers are the ones with access to confidential customer information. It’s important to show in your resume that you have the integrity to handle it.

Another detail to focus on in this resume is the absence of heavily technical terms.

By using simple words, you can connect with your recruiter. The resume is easy to read and understandable, yet shows your capabilities as a team leader.

Example 5: Lead Data Analyst Resume

Lead data analysts are in charge of handling teams of people. They have to ensure that all work submitted is correct.

In a lead data analyst resume, you’ll have to display all your capabilities and technical skills.

Lead Data Analyst Resume

Why We Suggest this Resume

This lead analyst resume works because it uses many of the common skills and action verbs that will alert application tracking systems. This increases the applicant's chance of getting an interview appointment. 

  • Type of Resume: Lead Data Analyst Resume
  • Best For: Those applying for lead data analyst jobs

Work Experience 1

Harry and Brothers Inc. – Austin, Texas, 2020 to present

Data Analyst Senior Associate

  • Analyzed 3,000+ addresses in Microsoft Excel within 1 year.
  • Evaluated reports from weekly and monthly reports from the web analytics team.
  • Derived procedures that decreased company costs on fossil fuels by 10%.
  • Assessed new applicants and collaborated with HR to come up with data analyst interview questions.
  • Generated and systemized ad-hoc reports according to business requirements.

Work Experience 2

New World Glass LLC – Dallas, Texas, 2017 to 2020

Data Analyst Process Lead

  • Performed data mining, data analysis, and data formatting; generated reports based on findings.
  • Collected data; distributed management reports promptly.
  • Conducted quality control of all outputs from the data analytics team.
  • Tracked and monitored reports and ensured the maintenance of industry standards.
  • Developed data analyses that optimized efficiency and quality.

Project Experience

  • Conducted web scraping for the Harry and Brothers team. The results were used by the company in an online ad campaign.
  • Managed a project for Harry and Brothers. Employed an exploratory data analysis method to conduct a nutrition analysis of products from three competitors.
  • Created a history visualization for glass products that got used in New World’s exhibit at the Oklahoma Museum of Art.


  • Has mastery over JavaScript, Python, HTML, R, and CSS
  • Great multitasking skills and time management; can work remotely for multiple sites of a company
  • Advanced knowledge of web analytics
  • Up-to-date with data visualization
  • Able to accomplish data cleaning quickly


Master of Science in Data Science

University of Houston Victoria

2015 to 2017

Bachelor of Science in Data Science

University of Texas at Dallas

2011 to 2015

Undergraduate Certificate in Data Analytics

University of North Texas


Licenses & Accreditations

  • Microsoft Certified Azure Data Scientist Associate
  • Springboard Data Analytics Certification
  • Open Certified Data Scientist

Why This Resume Works

First, this lead analyst resume works because it uses many of the common skills and action verbs that’ll alert applicant tracking systems.

If you didn’t know, having specific words in your resume gives you an edge over the competition (more on this topic later).

Aside from this, a big advantage to this resume is how each information piece was written. This resume prioritizes results over menial work.

This tells potential employers that you’re knowledgeable and that you work effectively.

This lead data analyst resume gives the recruiter insight into your capabilities as a leader in addition to your technical know-how. It does that by mentioning teams you monitored and emphasizing collaboration.

The way each project got written on this resume also encourages meaningful conversation. It’ll lead to more than one interview question that’ll allow you to impress recruiters.

Common Skills & Action Verbs to Include On a Data Analyst Resume

To showcase your data analyst skills, you’ll want to carefully select keywords to type into your resume.

Some employers will use applicant tracking systems to scan your resume. To stand out, you should optimize your resume and decide how many skills to list.

Common Skills for Data Analyst Resumes

Here are the top proficiencies and skills that’ll alert the tracking systems about your resume:

  • Python
  • HTML
  • Data Visualization
  • Collaboration
  • Web Analytics
  • SQL
  • Research
  • Attention to Detail
  • Problem-Solving
  • Tableau
  • Statistics
  • Verbal and Written Communication Skills
  • Presentation and Public Speaking
  • Time Management
  • Critical Thinking
  • Microsoft Excel
  • Programming Languages

Common Action Verbs for Data Analyst Resumes

Data analyst resumes should contain the following resume verbs to increase visibility:

  • Analyzed
  • Assessed
  • Systemized
  • Summarized
  • Researched
  • Evaluated
  • Collected
  • Predicted
  • Forecasted
  • Derived

Tips for Writing a Better Data Analyst Resume

If you feel like the samples aren’t enough, here are some more tips that you can follow to create a competitive resume.

Follow the Correct Format

Most recruiters nowadays won’t even lay their eyes on your resume until it gets selected by their applicant tracking system.

To stand out, you should ensure that your resume is in an ATS-compliant format. Try using Newcast, Enfold, or Diamond ATS resume templates.

In addition to the template, you should list your previous work in reverse-chronological order.

Start with your contact information and follow this with work experience, and education respectively. You may add objectives in the beginning and other info at the end as an option.

Pick fonts that are readable as well. Arial and Verdana are the most ideal for resumes. Don’t go for serif-type fonts. You can use font sizes from 10 to 12.

Include your name, contact number, and email address under your contact information. Never use a company email but pick a personal email that looks professional.

Be Specific With Skills

When it comes to data analytics, there could be many tool types that people can choose to use. That also means that companies use tools and languages that are different from each other.

The first thing you should check is which one they’re using. Do they need someone who can use Python or R?

Make sure that’s what you write on your resume. This denotes that you’ll be editing your resume every time you apply to a business.

It may be time-consuming but doing this will alert applicant tracking systems to your presence.

Practice resume optimization by all means. Do research on the correct skills and action verbs to use. However, be honest if you’re an entry-level data analyst and you only know how to use one tool.

Add Extra Info

Resume or career objectives are optional info that you can add. There are some cases where objectives appear outdated.

That said, they can help if you’re an entry level data analyst or if you’re changing careers. Added info like this will help your recruiter understand why you’re making a shift.

It’s also a good idea to write a section for related projects that you do on the side. It can show your recruiter that you’re motivated and multi-faceted. Writing about any licenses, accreditations, or awards will give you a higher chance of nabbing an interview.

There’s no more need to include your address, photograph, high school education, or hobbies in today’s resume.

Focus on Impact

Sure, you’re aiming to have a professional resume. However, that doesn’t mean that you have to list your duties stiffly. Think about how you’ve affected your previous company instead of indicating the actual work.

For example, saying you “Streamlined efficiency for the factory and increased output by 12%” is better than saying you “Worked as an analyst for 2 years”.

Focusing on your impact can highlight the services that you can offer. It’ll send a message that you can make a difference.

Frequently Asked Questions

Can you be a data analyst with no experience?

You can become a data analyst with no experience. Beginners can get by with Microsoft Excel as their first data analytics tool.

Albeit, you’ll need to self-study, train, and practice to learn programming languages; only then can you become an effective data analyst.

What is a good example of a data analyst resume objective?

Good resume objectives will emphasize how you can help a company out with your knowledge and skills.

An objective like “An emerging data scientist, wishing to pursue a position at your company to apply my knowledge on web analytics and statistics.” is a great example.

Similar Resume Types to Reference

As added resources, you may want to check the following to serve as inspiration for your data analyst resume. There’s a relationship between these resumes. Some info may even apply to the position you’re gunning for.

  • Software Engineer Resume: Data analysts and software engineers may work together to tailor-fit a data analysis system for a company.
  • Business Analyst Resume: Data analysts sometimes work as business analysts by using the data they collected for sales improvement.
  • Computer Science Resume: Data analytics is a principle that’s under computer science.

Wrapping Up

Writing a data analyst resume can be one of the most challenging aspects of applying for a job.

You’ll need to follow the correct format and make use of all the important keywords. The secret is wording your work experience, education, and skills in ways that can attract employers.

There are differences for each experience level of a data analyst but you can combine all the tips we’ve given. If you do follow our guide, you’ll write a piece that looks like it came out of a resume writing service.

As always, good luck with your job applications!

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