How to Write a Strong Data Analyst Resume
Growing technologies have allowed modern businesses to utilize tools that collect data for marketing and research. These advanced technologies permit companies to make better business decisions that can increase their sales and efficiency. Data that’s collected by these technologies must be organized and managed strategically, which is why many industries are seeing an increased demand for data analysts.
According to the U.S. Bureau of Labor Statistics, job outlook for data analysts is expected to grow by 9%, which is faster than average when compared to other occupations. With an average annual salary of over $90,000, it’s not surprising that many are on the job hunt for a role as a data analyst. To stand out from the crowd of job seekers, you’ll need to submit an eye-catching resume that shows why you’re right for the job.
An impressive resume includes important skills, education, and experiences you have that relate to the position. By presenting a well-thought-out resume, you can ensure it passes the automated applicant tracking systems and successfully makes it into the hands of a recruiter for review.
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How to Organize a Data Analyst Resume
There isn’t one specific way to format a resume so you can be creative with your style, font, and arrangement of information. However, there are specific elements that should always be present in your resume, no matter what type of job you’re applying for.
Your resume should always begin with a header, since it provides a potential employer with your contact information. The header should include your:
- Full name.
- Phone number.
- Email address.
You can be liberal with the formatting in this section, but be sure it’s easily legible.
The title for your introduction may be “About Me” or “Objective” since it provides a little insight on you, your experiences, and your career goals. Your introduction should only be a few sentences because it’s simply a way to highlight the experiences, education, and qualifications you have that make you a good fit for the position. It can also claim your career objectives and goals, such as eventually moving into a leadership position.
If you’re seeking a data analyst position, the skills section of your resume should include several hard skills, or skills you learned in school or through educational programs. You may need to list the computer programs you know how to use, such as Oracle or Tableau, or your data analysis skills, such as mathematical competencies you possess. Your technical skills and how you approach learning new technologies will also be important.
You should also include soft skills, or skills you’ve mastered through experience or are part of your personality. As a data analyst, important soft skills to include are problem-solving, analytical skills, and organizational skills. If the company you’re applying with has a team of analysts, teamwork and interpersonal skills may also be important soft skills to mention on your resume. You can place all your skills together in a concise bullet-point list.
If you have extensive work experience related to data analysis, include it in the experience section. For each job you held, provide:
- The name of the employer.
- Your job title.
- The dates you worked there.
- A bullet-point list of your duties.
If you don’t have experience in a job as a data analyst, you may need to include other jobs you held that aren’t related to the field. Emphasize the soft skills you developed in past job experiences so you can relate them to the data analyst position. You may also include volunteer or internship experiences you had.
In most cases, you’ll need a bachelor’s degree in a technology or analysis-related field to obtain a job as a data analyst. In this resume section, include information on the degree you’ve earned, including:
- Your degree and major.
- The name of the school you attended.
- The year you graduated.
- Special classes or clubs you were involved in that relate to the position.
If you don’t have a related degree and you’re making a career change, include the degree you earned. If you didn’t attend higher education, include the same information about your high school degree.
A short list of professional or personal references should also be included. In most cases, you can provide information on your references in the job application itself or in a separate document and you don’t necessarily need to include them as a section in your resume.
It’s important to select professional references who know your character well and can speak positively about working with you and your skill level. When listing your professional references, include each reference’s:
- Position, title, or how they know you.
- Contact information.
Data Analyst Resume Writing Tips
If you’re seeking a data analyst position, it’s important that your resume stands out from other job candidates. Be sure to:
- Use strong action verbs when describing your past job duties and motivation for your career path.
- Tailor the resume for the specific position you’re applying for.
- Keep a congruent format and theme throughout the document.
- Use a data analyst resume template to ensure you’re not missing important information.
Data Analyst Resume Example
456 Oak Street
White Plains, NY 56789
To use my analytical, problem-solving, and mathematical skills to begin a career as a data analyst so I can work together with a team to help the company grow and profit.
- Microsoft Office Suite.
- Adobe Photoshop.
Executive Assistant, 123 Office, 2016-Present.
- Organize meetings and scheduling for executives.
- Order office supplies as needed.
- Manage Salesforce account.
Sales Associate, Play Sports Department Store, 2014-2016.
- Help customers locate products.
- Conduct team sales meetings.
- Pull sales statistics for supervisors.
Bachelor’s Degree, Liberal Studies, University of Chicago, 2014.
- Completed Advanced Computer coursework.
- Member of the Computer Coding club.
Sheila Edwards, Supervisor at Play Sports Department Store.
Richard Smiler, Executive at 123 Office.
Dr. Robert Planter, Professor at University of Chicago.
389.343.2442 ext. 567.
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