How to Write a Data Analyst Resume

Data Science Resume

Are you looking for a data analyst job? In order to get hired as a data analyst, you need to have an understanding of what the role entails and be able to show off your skills on your resume.

Show off your data analyst skills

Your data analyst resume needs to accomplish 2 objectives. You must get past automatic keyword filters used to match up job application information. Next, you must show technical knowledge and experience before a hiring manager reviews your resume.

A data analyst resume is not just a simple document describing what you’ve done. While qualitative impact is difficult to quantify, quantitative impact can be more persuasive in securing a data analyst job. In preparing your data analyst resume, consider incorporating hard and soft skills, as well as any certifications that you may have earned. Include an email address that sounds professional, and avoid using a non-professional one. Below are a few tips for writing a data analyst resume.

The most important part of your data analyst resume is the skills section. This is where you will want to list your hard and soft skills. Include anything that may set you apart from other candidates.

Some common data analyst jobs are:

-Analyzing data

-Interpreting data

-Finding trends in data


Data analysts need to be able to use certain software programs to do their job. Include any of these that you are familiar with in your skills section as well.






1. Start with a Data Analyst Resume Summary That Turns Heads

Here’s the deal: Your data analyst resume summary will show recruiters your valuable contribution. Give them the chance to learn how you are. It always works.

data analyst resume

A data analyst resume must contain a professional summary. This is a sales pitch that describes your professional goals. It is important to list up to six responsibilities on a data analyst resume. The summary section should be between two and six sentences long and placed at the top of your resume.

Here is an example of a data analyst resume summary:

Data analyst with 5 years of experience in analyzing and interpretation data. Worked with large data sets and have been able to find trends and communicate my findings to key stakeholders. Certified in SQL and experienced working with Tableau. Seeking to use my skills to help ABC Corporation grow their data analysis capabilities.

Data analysts play a key role in helping businesses make decisions based on data. As a data analyst, you will be responsible for collecting, cleaning, and organizing data. You will also be responsible for analyzing this data to help business owners make informed decisions.

2. Start by organizing your experience and skills into relevant categories

When writing your data analyst resume, pay special attention to the skills section. When listing your skills on a data analyst resume, think about which ones will be most impressive to the employer. Is the company looking for someone with specific technical skills? Be sure to list those first. A data analyst must be well-versed in critical thinking, database management, statistical modeling, risk management, system administration, and data warehousing. A successful data analyst resume will include examples and transferable skills for each of these areas. Listed below are some tips for writing a solid skills section.

Try these tips:

Include the skills that are directly applicable to the job. Technical hiring managers know that “data mining” is a blanket term, so be specific with the techniques you learned. List the data analyst tools and technologies that you know well and list your proficiency levels for each. Mention the years you’ve used each. For example, if you have experience in Python and R, list your years of experience using each. Otherwise, don’t mention programming languages, unless they are specifically required.

Depending on the job title, the job requirements, and the employer, each data analyst resume should include a skills section. When writing a resume for an entry-level data analyst position, use short, bullet-point sentences about your relevant skills. If you are an experienced data analyst, add detailed descriptions and details of your relevant skills and experience.

data analyst resume

Data analysts. Next, add a Data Analyst Education Section

The education section of a data analyst resume should include the name of your degree, the date you graduated, and the name and location of the school you attended. If you have not yet completed your degree, you can still list your expected graduation date.

Data analysts typically:

  1. Have a degree in computer science, math, or a related field
  2. Have experience working with databases and data analysis software
  3. Are familiar with statistical methods
  4. Are detail-oriented and have strong problem-solving skills
  5. Have excellent communication and presentation skills

2. Experience should be listed in reverse chronological order

Start by listing the latest jobs in the field. List at least 6 tasks and achievements at a particular job. Customize the data according to the job description. A data analyst resume should highlight your most recent work experience and highlight your key skills and attributes. This format will catch the attention of a recruiter as they skim through several resumes. The format allows you to highlight your most impressive credentials and career path. However, if you have freelance experience, you may want to title the experience section “projects” rather than ‘jobs’.

Experience section

The experience section of a data analyst resume should be tailored for each job. While you might want to focus on highlighting your SPSS or MySQL experience, you don’t want to make the entire data analyst resume look like an overhaul. Instead, highlight your relevant experience and skills and make sure that you have a strong educational background.

To give your data analyst resume a unique and professional feel, include examples from various companies you’ve worked with. You can also highlight your technical skills by listing projects that relate to the job description.

When drafting the experience section of your data analyst resume, use the reverse chronological format. This format lists your latest employment experience first, followed by your oldest one. You can highlight your most impressive credentials and career trajectory with this format. You may want to include a reverse chronological resume if you’re an entry-level data analyst, because the former is better for your first job. So, write down your experiences in reverse chronological order.

A good data analyst resume should include specific details about your previous jobs. Your previous responsibilities and impact are essential. Include your education, certifications, and projects in the Experience section. Make sure you have specific skills like handling data, analyzing the data, and explaining its meaning. Lastly, your data analyst resume should be presented in a modern format that guides the reader through the sections of your resume. Regardless of whether you’re an entry-level or a seasoned professional, a modern-looking data analyst resume will help you land a job in data science.

sta analyst experience

Include professional accomplishments in the experience section. Include examples of your work. List your professional accomplishments using action verbs, such as “implemented better database systems,” “improved business operations,” and “reformed business processes.” Identify key skills you have to offer as a data analyst. Your skills should be highlighted in a way that draws the attention of the hiring manager. And remember to use strong language and numbers wherever possible.

Data Analyst Resume Education section

The Education section of a data analyst resume should include any relevant educational background. For instance, if you earned a degree in statistics, list the school name and the year you graduated. If you have taken courses in big data, list them as well. A well-written education section will make you stand out from other candidates. Here are some tips to write the Education section of your data analyst resume.

When writing your data analyst resume, make sure that your education section does not take up too much space. Include only the relevant classes. For example, you don’t need to include every single programming language that you know. Instead, focus on what you’ve done and contributed to specific projects. If you’ve worked on a few projects, you can discuss how you’ve improved the overall outcome of a project. You can also include your certifications.

The Education section of a data analyst resume should highlight any courses you’ve taken that relate to the job description. Most data scientists have taken bootcamps or certifications, so it may be helpful to list those as well. This way, hiring managers will get a sense of your work history and technical expertise. While this section is shorter than the previous section, it still needs to contain relevant courses. This section will make you stand out from the crowd.

Research and publications section

A data analyst resume should include an impressive list of research and publication achievements. Include your achievements by numbers and estimates. In this section, highlight your specific contribution to a team project. For example, you might have made a product recommendation based on your analysis. Your publications should highlight this contribution, so they should be listed in a separate section. Include links to online projects to give prospective employers a better idea of your expertise.

The Research and publications section of your data analyst resume should showcase your most notable accomplishments. A custom research and publications section that’s tailored to the data analyst role you’re applying for will give you an opportunity to highlight your skills and experience in a way that’s most relevant to the job.

Certifications section

A certification section is very important in a data analyst resume. It proves that the candidate has the skills necessary to analyze large amounts of data. It also shows that the candidate has worked on projects that provide proof of concept. The certification section of a data analyst resume should focus on those projects and not on all of them. You can also include certifications that you have earned outside of your formal work experience. In the Certifications section of a data analyst resume, include relevant certifications and courses.

The certifications section on a data analyst resume is crucial if you want to make it past the applicant tracking system filters. It should show your technical expertise, and show that you can communicate with clients. Additionally, a data analyst resume highlighting your credentials must highlight your publications. You may want to add a certification to your resume if you are a recent graduate of a data analyst program. There are many different types of certifications that can help you land the job of your dreams. A certified data analyst has a strong mathematical background and analytical tools. An experienced analyst is capable of interpreting data and communicating it to the right audience. Moreover, they’re adept in SPSS and Microsoft Excel. Their experience is complemented by their attention to detail and passion for problem-solving. To ensure a high-quality data analyst resume, include action verbs and quantify results. Make sure to use the appropriate terminology and present your certifications in a professional manner.

Make sure you list your certifications in reverse chronological order. List the most recent certification first, and then list the oldest one last. The certifications section of an effective data analyst resume is extremely important. The hiring manager will scan this section for technical terms and will not be able to understand the language you are using. Be sure to use simple language so that the hiring manager will be able to understand it. In addition, make sure you proofread your resume for clarity and accuracy. Having a trusted mentor or friend read it can be a huge help in ensuring that your data analyst resume is error-free.

Summary – How to Write a Data Analyst Resume

A data analyst resume should be specific and tailored to the data analyst role you are applying for. The resume should highlight your data analyst skills and experience, as well as any certifications you may have earned. The resume should also include an email address that sounds professional. When writing your data analyst resume, be sure to include both hard and soft skills, as well as any quantitative impact you have made in your previous roles. Quantitative impact is more persuasive than qualitative impact and will help you get past automatic keyword filters used to match up job application information. Once your data analyst resume passes the keyword filter, a hiring manager will review it. Be sure to show off your technical knowledge and experience so that the hiring manager can see that you are qualified for the data analyst role.

Securing a data analyst position may seem daunting, but with the right data analyst resume, you can land the job of your dreams. Your data analyst resume needs to accomplish two objectives: getting past automatic keyword filters used to match up job applications and impressing a hiring manager with your technical knowledge and experience.

Remember that a senior data analyst resume is not just a description of what you have done in the past, but rather a persuasive document that demonstrates why you are the best candidate for the job. With the right data analyst resume, you can choose from many data analyst roles.

For a data analyst resume sample and a data analyst resume template, please visit our Samples page.


Arno Markus Resume Writer

About the author

Arno Markus ​BA, MSc., CPRW

Arno Markus Resume Writer

Arno Markus ​BA, MSc., CPRW
iCareerSolutions CEO and Founder

Arno Markus is a Certified Professional Resume Writer and founder of iCareerSolutions. Arno has helped $50K to $2M salary employees through their entire job search, including creating a resume that got them noticed and landing interviews for the position they wanted. 

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