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You are here: Home / How To Make a Resume For Data Analysts (2022) | Resume Example

How To Make a Resume For Data Analysts (2022) | Resume Example

Do you need to submit a resume for a data analyst position? Learn ‘how to make a resume for data analysts’ and check out the resume example! (PS: Don’t forget to DOWNLOAD matching CV and Cover Letter Templates 📑)

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Data Analyst Resume Example

NAME SURNAME
Los Angeles, CA | namesurnam[email protected] | +[000]-000-0000 | [Github] | linkedin.com/username

EDUCATION

University Name | Bachelor of Computer Science

  • Cumulative GPA: 3.80/4.00
  • Big Data Summer Academy
  • AP Computer Science Courses

City, State | 01.2019 – 01.2021

Additional Courses

  • Relevant Coursework: Finance, Statistics, Information Management & Learning with Python

SKILLS

Database & Programming Languages
SQL, R, Python, Java, JavaScript, Julia, Scala, MATLAB, Tensorflow,
HTML/CSS

Software Tools
Microsoft Excel,
Google Sheets,
Tableau / Qlik

Leadership qualities
Effective Communication,
Ability to teach & mentor
Decision-maker & problem-solver

WORKING EXPERIENCE

Company Name | Data Analyst Intern

City, State | 01.2020 – 01.2021

  • Collaborated with 2 software engineers and 1 project manager to improve [Webshop]’s performance, hence increase [Webshop]’s revenue
  • Developed visually impactful dashboards in Excel and Tableau to identify key metrics and transform raw data into meaningful, actionable information for the software engineers
  • Contributed to the decrease of cart-abandonments by 31% and increase of online sales by 25% per product (Praised for these results (see references))

 Company Name | Data Engineer

City, State | 01.2019 – 01.2020

  • Worked with 2 front-end and 1 back-end developer to improve [Online store]’s performance, hence increase [Company]’s sales
  • Created visually impactful interfaces in Excel and Tableau to identify key metrics and transform raw data into meaningful, actionable information for the web developers
  • Contributed to the decrease of cart-abandonments by 12% and increase of online sales by 32% per service (Received recognition for these results (see references))

PROJECTS

Data Visualisation Project
Created a global heatmap to show where Covid-19 cases spiked

Exploratory Data Analysis Project
Tracked six factors to measure which country is the happiest

Project at [University Name]
Used quantitative data for understanding students’ behaviour

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