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Resume
Resume Sample: Data Analytics
The main goal of your resume is to describe your experience, education, and interests in a way that is
relevant to the position for which you are applying. Below are tips to help you to create a Data Analytics
resume that is polished, professional, and relevant to help you stand out amongst other applicants. Page 3
features a sample resume that illustrates the resume writing guidelines covered in this document. Please
see the Core Resume Sections for a College Student tip sheet for general information regarding resume
development, and consider scheduling an appointment with a Career Coach if you have any questions not
addressed by the Career Success tip sheets.
Applicable Career Communities:
Data Analytics Resume Construction:
1. Highlight pertinent skills: Technology, software, and analytical skills are the top three skills cited as
highly desirable by employers in the data analytics field. Be sure to include software packages that you
have used inside the classroom, as part of a project for a student organization, for prior employment, or in
independent research. When creating this portion of your resume, be sure to incorporate verbiage that
matches the job description – that is, if the job requires a specific technological skillset, be sure to include
those same skills and knowledge areas on your resume.
a. Only list skills that you actually have and can speak to knowledgably in an interview.
b. If you have a world language skill, only include it on your resume if you possess intermediate or
advanced competency in that language and it is relevant to the position you are seeking.
c. Most employers today assume that those applying for data science or analytics roles know how to
use Microsoft software. Instead of listing each individual software, list the phrase “Microsoft Office
Suite.” Then use the extra space to highlight what makes you stand out.
2. Feature relevant coursework: Employers are interested in confirming that you not only completed specific
coursework for your major, but that you have taken courses that will provide you with transferable skills.
When creating this part of your resume, include courses that are the most relevant to the position for which
you are applying. Employers often look for students with advanced coursework and analytics skills, so list
advanced courses rather than introductory classes when possible. However, if you have only completed
the core courses towards your degree, it is acceptable to list those.
3. Key words to include on your resume: Along with using key words found in the job description, consider
adding the following terms and categories that are of prime interest to employers seeking DA talent. The
goal is to communicate that you have the technical skills as well as the career readiness competencies to
succeed in the workplace. Technical skill keywords to consider:
• Analytics/Analysis
• Python or R
• C++