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 📑)
BEST HOW-TO-VIDEOS (YT)
📃 Make a Resume
✍🏻 Write a Cover Letter
👥 Create a LinkedIn Profile
OVERVIEW EXAMPLES (TEXT)
📄 Resume Examples
📝 Cover Letter Examples
💬 100 Interview Q&As
OTHER LINKS
👥 1-ON-1 CV & Cover Letter Help
👥 1-ON-1 Mock Interviews
📑 CV & Cover Letter Templates
Data Analyst Resume Example
NAME SURNAME
Los Angeles, CA | [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