Data Analyst Resume Guide with Templates and Real Examples

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ResumeGiants » Examples » Data Analyst Resume

Looking to polish your resume to take advantage of a company’s need for a top Data Analyst? In this guide, we’re going to lay out the essentials on how to write a top-notch Data Analyst resume.

You may have seen an uptick in the number of job advertisements for data roles in recent years.

In fact, according to a study by Market Research Future* , the data analytics market industry is forecast to grow globally at a rate of 27.6% between 2023 and 2030 (compound annual growth rate). 

This statistic alone is tantamount to the growing demand for data professionals. It also reinforces the need for you to work on perfecting your resume for one of the many job openings.

Naturally, this begs the question—just what do businesses look for in a qualified Data Analyst? Keep reading to find out how to present yourself as a strong candidate in your resume.

Here you will find:

But, if you feel confident enough to dive into writing your resume now, why not head over to our free resume builder and get started?

Take a look at our professional Data Analyst sample resume below to get an idea of how your resume should look.

Resume Example

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[Lilibeth Andrada]

[Data Analyst]

[San Francisco, California 94108 | 555-555-5555 | lilibethandrada@randomemail.com]

Senior Data Analyst

Highly skilled data analyst with expertise in analyzing complex datasets, identifying trends, finding correlations in raw data, and providing actionable insights to drive business growth for companies such as Levi Strauss and Uber. Dedicated to delivering accurate and impactful analysis to support informed decision-making through data visualization.

Skills

• Machine Learning
• Database Design
• Python
• Business Intelligence
• Data Visualization
• Business Intelligence
• Data Mining
• Data Cleansing
• Data Warehousing

Experience

Senior Data Analyst

Levi Strauss & Co | San Francisco, CA

2019 – 2023

• Conducted data analysis on business unit data, improving processes and features by 15%.
• Assisted in developing a measurement plan, setting benchmarks for campaigns that increased conversion rates by 20%, achieved 25% higher customer engagement, and projected 17% revenue growth.
• Translated business needs into actionable insights by designing tools and dashboards, resulting in 40% lower customer churn and 10% higher customer satisfaction.
• Created complex reports from multiple databases, providing weekly recommendations that reduced operational costs by 5% and improved efficiency by 12% across management levels.

Data Analyst

Uber | San Francisco, CA

2015 – 2019

• Performed analysis to assess the quality of data being interpreted for monthly reporting, which cut the time spent on preparing these by a quarter.
• Prepared 48 written reports for the board of directors stating trends, patterns, and predictions using relevant mined data.
• Conducted key analyses, including financial, market, commodity pricing, and supplier performance analyses, streamlining all of these into Tableau dashboards.

Education

MSc — Computer Science

California State University Northridge | Los Angeles, CA

2017

• Collaborated in a consulting project for a nonprofit organization, analyzing a dataset of 5,000 donor records.
• Relevant Coursework: Introduction to Machine Learning, Artificial Intelligence, and Algorithm Design and Analysis

BSc — Computer Science

Stanford University | Stanford, CA

2015

Certifications

Cloudera Certified Associate Data Analyst, 2022

Springboard Data Analytics Certification, 2020

If you’re still not sure how to write a resume, there are generally three formats that you can choose from.

1. Reverse-chronological Format 

2. Functional Format 

3. Combination/Hybrid format 

Head on over to our resume format guide to find out more about these if these sound alien to you!

So, you’re probably scrutinizing your options and asking yourself, which is best for a Data Analyst? 

While every candidate is different, in general, the reverse-chronological format will be your best bet for the following reasons: 

• Emphasis on Work Experience: Data analysts rely heavily on their work experience to demonstrate their ability to analyze and interpret data. This makes it easier for recruiters and hiring managers to quickly identify your relevant experience.
• Career Progression: Your progression is important for demonstrating your ability to take on more responsibility and develop new skills, which is especially important in a fast-paced and constantly evolving field like data analysis
• Technical Skills: The chronological format allows you to demonstrate the analytical skills you have developed over time, as well as any relevant certifications or training programs you have completed.

Our Data Analyst resume template above includes a resume summary.

Your level of experience and expertise will influence what type of introductory paragraph you write:

But, how do you get a Data Analyst job if you have no experience?

This is where a resume summary or resume objective can be used as a tool to outline what you can offer the company you are applying to.

The key points in this type of introductory paragraph include education, strengths, achievements, relevant experience, and future professional goals.

On the other end of the spectrum, a resume summary features a candidate’s work experience in this specific role, their achievements within it, and other unique selling points, such as measurable successes. 

Let’s take a look at examples of both summaries and objectives to give you some inspiration, as well as tips on how to write yours.

Data Analyst Resume Summary Examples

When it comes to writing a great Data Analyst resume summary, remember to include: 

• Number of years you have in the relevant position 
• Your specialty
• Relevant accomplishments and skills

Review the example below to see how these all fit.

This summary is a good example because it concisely shows the candidate’s key qualifications and accomplishments, including an impressive statistic.

Unfortunately, the second example does not effectively communicate the candidate’s qualifications or relevant experience for a Data Analyst role. Instead, it focuses on personal interests and outdated experiences.

Career Objective for Entry-Level Data Analysts

If you’re asking yourself, “How do I write a Data Analyst resume with no experience?” you’re not alone. Your career objective is the best way to start.

It sets the tone and helps potential employers quickly understand your professional goals. 

When writing your objective, remember to focus on your skills, passion for data, and eagerness to learn and grow. Here are some key points you should consider:

• Transferable skills: Highlight any data analysis skills that you’ve acquired through academic coursework, internships, or other experiences.
• Passion for data: Demonstrate your enthusiasm for working with data and your dedication to improving your analytical skills.
• Career goals: Mention your short-term and long-term goals in the field of data analysis.
• Relevant education: Reference your educational background in data analysis, statistics, or a related field.

Here’s an example you can learn from that can help with your fresher resume objective:

Example

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Objective

Detailed-oriented statistics graduate, highly motivated by data analysis, seeking an entry-level Data Analyst position at XYZ Company. Strong analytical and problem-solving skills gained through coursework in descriptive statistics, database management, and machine learning, alongside completing a data analysis internship at Shoply e-commerce. Passionate about uncovering insights from data to drive business growth and improve decision-making.

If you want your resume to leave an outstanding impression, make use of industry-related terminology, while adopting a professional, formal tone with no personal pronouns.

When describing your experience as a Data Analyst, it’s important to highlight your quantifiable data and accomplishments. Here are some tips to effectively showcase your expertise:

• Emphasize the impact of your work by quantifying your achievements.
• Highlight your technical skills.
• Show how you worked well with other teams.

You might have a lot of information to include in a succinct manner.

But, as this example shows, there is a way to include it all!

Here are some tips to help you write a strong experience section for your professional Data Analyst resume:

• For each position, write a few bullet points emphasizing your professional successes.
  • Example: “Developed and implemented a data visualization dashboard.”

• Choose one major accomplishment for each position and highlight them. Big projects will earn you extra points.
  • Example: “Implemented a machine learning model to predict customer churn that saved the company $200K in revenue.”

• Make sure you begin each bullet point with an action verb like enforced, executed, or led, to make them more impactful.

By following this advice, you’ll not only communicate what you did, but also demonstrate your value to potential employers.

Entry-Level Data Analyst Resume: Experience Section

Even if your experience is little-to-none, you can still emphasize previous responsibilities and achievements that relate to the job description.

In fact, some hiring managers find good reasons to hire entry-level candidates.

Here you can see an example of how a good entry-level experience section should look:

This is a great example as the candidate uses industry-specific terminology, action words such as ‘collaborate’, ‘conduct’, ‘identify,’ etc., as well as including measurable achievements.

Your resume for a Data Analyst position ought to showcase how and when you acquired your expertise.

Most Data Analyst professions demand a bachelor’s degree at minimum.

A requirement for a master’s degree or above is common among companies hiring for Data Analyst roles. If you are an entry-level candidate, and you have a remarkable educational background, along with impressive degrees and awards, highlight them in your resume. Begin with your highest level of education.

Some hiring teams might hire someone who hasn’t yet finished studying, especially if the candidate shows great ambition and promising skills.

Here you can see an example of how the education section should look:

Candidates with more work experience may decide to leave out coursework, GPA, and awards to save valuable resume space.

How can your data analysis talents set you apart from the competition, and how do you list skills on a resume?

To start, we recommend making a list of your professional abilities, talents, and strengths that are the most important and relevant to the job you’re applying for, and decide which ones are the most important for your application.

And yes, as well as analytical skills, there are specific abilities that the recruiter will typically be looking for, so we’ve included them below to help you see which ones you could include on your resume.

Remember to be honest and choose skills that you can actually demonstrate. That way when the time comes you won’t have any trouble impressing the hiring manager.

Your goal here is to stand out from the competition and show recruiters any special accomplishments that differ from other job candidates.

Extra sections on your resume may include information such as your interests, conferences you’ve attended, or awards you’ve won.

Additional Sections to Consider

• Add a section for big data certifications, software, or licensing to the Data Analyst skills area.
• List journals and magazines where you’ve published your study and feature findings if there are any.
• If the conference you attended or spoke at focused on skills that match the Data Analyst job description, include it in a section of its own.

These additional sections are optional, but can help you differentiate yourself from other candidates and exemplify your passion for the job.

The 5 Best Data Analyst Projects for Your Resume

By adding projects to your resume you can build  a respectable portfolio. This is a great way to include some extra experience. Upgrading your portfolio is especially important if you’re an entry-level Data Analyst, since you can create results and quantifiable data on your own that can be included in an extra section.  

We’ve included here five of the best Data Analyst projects to add to your resume, which you can create on your own.

• False information detection: Use algorithms to scan statements to see if they contain false information.
• Traffic management: Gather traffic data from different sources such as cell phones, and predict the flow of traffic and gridlock. 
• Energy consumption: Take energy consumption data from residences to optimize energy usage using machine learning.
• Image captioning: Create an algorithm that gives guidelines to assist computers in identifying objects in images. 
• Movie suggestions: Ask a group of people to rate movies and use the data to develop an algorithm that can suggest movies they might like. 

If you manage to create any of these projects successfully, you can add it to your resume.

Data Analytics Certifications

If you’re aiming for an outstanding data analytics resume, you should consider obtaining a relevant certification that will prove and emphasize your knowledge and skills in the industry to your employer.

First, though, it’s important to point out the difference between certificates and certifications.

While a Data Analytics certificate only points out your education in the field, a data analytics certification implies that you have passed a required assessment that proves your practical skills.

Keep everything clear and precise and as minimal as possible, so all information is comprehensible and digestible. Present your certifications in the following way, with the name, provider, and dates.

If you have minimal professional work experience in data analysis, you can list these closer to the top of your resume.

Remember, when it comes to executing a top-notch resume, it’s essential to explain what you’re good at and how you do it all, with evidence to back it up.

Apart from simply adding the basics like your education and experience you’ll want to:

• Include data that proves your productivity and achievements as a Data Analyst
• Use industry specific terminology, include measurable achievements and describe it all with action words.
• Include your up-to-date relevant certifications
• Develop and include projects if you don’t have experience 
• Keep your resume up-to-date with each position you work at

To sum up, the best way to score that Data Analyst position is to ensure your resume hits home with a hiring manager by demonstrating that you can handle all the responsibilities listed in the job description. 

Be detailed, be concise, sell your best attributes, and wriggle your way into that interview pile!

With our resume builder and organized templates you should be able to put together a professional winning application quickly and easily. We wish you all the best in your data analytics career journey!

*Data taken from https://www.marketresearchfuture.com/reports/data-analytics-market-1689, June 19th, 2023