Resume Guide: Data Analysis

Template and Sample

Your resume is your chance to impress an employer with your skills and accomplishments. An industry-backed resume focuses on results, uses dynamic language, and appears organized, clean, and free of mistakes.

Here are templates and competitive samples that you can use to get started on creating your resume or CV. Simply save a copy of them so you can edit and adapt. Be sure to replace text in blue with your own, and follow the instructions in brackets when utilizing the templates.

N. American Resume Template

U.K. CV Template

N. American Resume Sample

AU Resume Sample

Student Spotlight

Meet Teodora

  • Data Boot Camp grad
  • Background in economics and Spanish
  • Passion for more meaningful work
  • Landed a data analyst role
  • Pursuing a Masters in Data Science

Teodora’s Story

Teodora was determined from the start that data analytics and visualization was going to be her new career. She longed for more meaningful work and found her passion in pieces of her boot camp experience. She will tell you the climb is long but that she is a life-long data enthusiast to say the least. With the support of her Career Coach (CC) and utilizing Career Team resources, she landed a data analyst role. She has already decided to continue her educational journey after boot camp going back for her Masters in Data Science.

Data Resume or CV Criteria

Content

Heading includes all of the first-order information the employer needs.

  • Include name, phone number, professional email address (not Hotmail, Yahoo, AOL, or university), city and state/province, and full hyperlinks to LinkedIn and GitHub.

Summary section. Try to include at least 3-5 of the following:

  • Title of role pursuing (do not identify as a student).
  • Background experience that connects to the role you are pursuing.
  • Avoid pronouns
  • 2-3 transferable skills (ex. adaptable; time management; communication; innovative; collaborative, etc.)
  • Years of related experience (keep below 10 years).
  • Accomplishments, recognitions, and/or awards. 
  • Training or certificates (completed program).

Highlights skills and projects completed.

  • In the technical skills section, ensure programming languages and technologies conform to standard spelling and style for the industry.
  • Up to three of your strongest projects, with brief description, languages used, and written link to code.

Experience clearly laid out with accomplishments highlighted rather than job duties.

  • Experience listed in reverse chronological order, with job title, job description, company name, city and state/province, and dates of employment.
  • Start every bullet with an action verb; don’t use the same verb more than once.
  • Cite accomplishments, recognitions, and/or awards (do not list job duties).

Education listed in reverse chronological order with locations and certification. 

  • Education listed at the end of the resume unless you don’t have much experience or you have particularly relevant degrees.
  • Include the program as the most recent item in education. List your completed program as a certificate.

Pass the applicant tracking system.

  • Include standard heading titles (Summary, Technical Skills, Projects, Education, Experience).
  • Spell out acronyms and abbreviations (abbreviated months are acceptable).
  • Use bullets instead of asterisks. 
  • Avoid images, icons, or photographs.
  • Avoid colored text.
  • Avoid columns, tables, text boxes, and graphs.
  • Use keywords that match the job description and align with required skills needed for each specific role.

Design and Format

Clean and Simple Design.

  • No template language or blank areas.
  • Design does not get in the way of necessary text/content.
  • Text fills the page without overcrowding.
  • Balanced margins, between 0.5” – 1.”
  • No more than one page if new to the field, two pages if have relevant experience.
  • Name and headlines stand out.
  • Few (or no) hanging lines (where just a few words take up an entire line).

Consistent and Professional Text.

  • Font size of 11 or 12.
  • Consistent and professional font style. It’s okay to use different fonts for the headings and body. Professional font styles include: Arial, Calibri, Cambria, Georgia, Helvetica, Times New Roman.
  • Consistent use of bold, italic, and underline; same bullet point style for all lists.

Correct Grammar, Spelling and Punctuation.

  • Consistent punctuation throughout.
  • No grammar errors; no spelling errors.
  • No personal pronouns (I, we, he, or she).
  • Abbreviations or acronyms are not used unless necessary. 

Easy to read and professional sounding tone. 

  • No jargon, slang, or superlative adjectives like “great,” “good,” or “awesome.”

Data


How a Boot Camp Helped this Leader Enhance Her Data Expertise

Spending more time making data-led decisions alongside the analytics and business insights teams within her organization led Jenny Bersinic to continue her journey as a lifelong learner, and invest in continuing to enhance her data IQ.

Related Industries: Data
Computer with data on screen sits on a desk with coffee.

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