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Data analyst resume example

Marcus is a senior data analyst in Chicago with five years in healthcare and retail. His resume follows US habits, in the Compact template on US Letter paper, with no photo or personal details and a result in every bullet point.

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Marcus Reed

Senior data analyst

marcus.reed@example.com+1 312-555-0172marcusreed.example.com

Chicago, IL, United States

Profile

Data analyst with five years of experience in healthcare and retail. Turns messy data into forecasts and dashboards that people act on, using SQL, Python and Tableau.

Work experience

Senior data analyst, Lakeshore Health Partners · Chicago, IL · A network of 14 outpatient clinics

Jan 2023 – Present

  • Built a no-show forecast that lets clinics overbook safely, filling about 1,200 more appointments a year

  • Replaced 30 weekly spreadsheet reports with four Tableau dashboards used by every clinic manager

  • Cut a monthly billing query from 40 minutes to 3 by rewriting it and adding two indexes

Data analyst, Prairie Goods Co. · Chicago, IL · A regional grocery chain with 60 stores

Jun 2020 – Dec 2022

  • Analyzed loyalty-card data to redesign weekly promotions, raising average basket size by 6%

  • Automated the weekly sales report in Python, saving the team a day each week

Education

B.S., Statistics, Westbridge State University · GPA 3.6

2016 – 2020

Skills

Analysis: SQL, Python (pandas), R, Excel

Visualization: Tableau, Power BI

Methods: Forecasting, A/B testing, Regression

Certifications

Tableau Desktop Specialist, Tableau

Sept 2021

Projects

Bike-share demand study

Mar 2022 – Present

marcusreed.example.com/bike-share

A personal project modeling hourly bike-share demand from public trip and weather data.

The people, companies and numbers in this example are invented.

What makes it work

  • Results first. Each bullet point starts with a verb and ends with what changed: about 1,200 more appointments a year, a query cut from 40 minutes to 3.
  • A line about each employer. “A network of 14 outpatient clinics” tells a reader from another industry what the company does, and how big it is.
  • Tools in the skills and in the work. SQL, Python and Tableau are listed as skills and appear in the bullet points where he used them. Recruiters, and the systems they search with, look for both.
  • Nothing personal. No photo, date of birth or marital status. US employers expect them to be left out.
  • No references. US employers ask for them later, so the space goes to his work.

Make it yours

  • Use numbers you can explain. “About” is fine when a figure is an estimate.
  • Spend most of the space on your last two or three roles. Earlier ones can have a line or two each.
  • Changing industries? Keep the line under each employer that says what it does.

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