Data Analyst Resume Example & Writing Guide

Use this Data Analyst resume example and guide to improve your career and write a powerful resume that will separate you from the competition.

Data analysts use their knowledge of data, analytics, and research methods to analyze information and identify trends. They use this information to devise solutions or make recommendations based on the outcomes of their analyses.

Data analysts are an integral part of many organizations, helping them make smarter business decisions. If you enjoy working with data and want a career that allows you to use your analytical skills to solve real-world problems, then a job as a data analyst could be right up your alley.

Here are some tips and an example resume to help you write a data analyst resume that hiring managers will love.

Jennifer Thomas
Phoenix, AZ | (123) 456-7891 | [email protected]

Data-driven analyst with over six years of experience in data mining, analysis, and visualization. Excels at uncovering trends and insights in large data sets to help organizations make better decisions. Seeking an opportunity to use data to solve real-world problems and make a positive impact on society.

Arizona State University Jun '10
B.S. in Mathematics
Company A, Data Analyst Jan '17 – Current
  • Analyzed data from multiple sources to identify trends and opportunities, including customer feedback, sales information, and product usage data.
  • Developed dashboards that provide executive-level visibility into key business metrics such as revenue growth by channel and segmentation analysis of customers based on their behavior across channels.
  • Provided recommendations for improving the marketing strategy through A/B testing of email campaigns using Optimizely and Google Analytics tools.
  • Created a new pricing model for our flagship product that resulted in an increase in annual recurring revenue by $1M with no negative impact on retention rates or acquisition costs.
  • Built a web application that allows users to track the status of support tickets submitted via Help Scout which increased response times by over 50%.
Company B, Data Analyst Jan '12 – Dec '16
  • Created a data warehouse to store and analyze all company sales information, which helped increase revenue by 15%
  • Conducted weekly analysis of customer service calls to identify trends in the types of issues customers were calling about
  • Built an automated system that tracked employee productivity based on time spent working on each project
  • Analyzed website traffic statistics to determine what content was most popular with visitors and adjusted accordingly
  • Reduced operating costs by 10% through strategic outsourcing decisions for non-core business functions
Company C, Data Entry Clerk Jan '09 – Dec '11
  • Entered data into company software programs and databases from various sources such as paper documents, online forms, and emails.
  • Performed quality control checks on entered data to ensure accuracy and completeness.
  • Created and maintained spreadsheets to track entered data and progress towards departmental goals.
  • Certified in Data Science
  • Certified Analytics Professional
  • Cloudera Certified Administrator for Apache Hadoop

Industry Knowledge: Statistical Analysis, Logistical Analysis, Data Mining, Forecasting, Data Modeling
Technical Skills: Microsoft Office Suite, Excel, SQL, R, Python, Tableau, SPSS, SAS
Soft Skills: Critical Thinking, Problem Solving, Time Management, Decision Making

How to Write a Data Analyst Resume

Here’s how to write a data analyst resume of your own.

Write Compelling Bullet Points

Bullet points are the most important part of your resume because they’re the first thing recruiters and hiring managers will read. And they’re the best way to showcase your experience and qualifications.

But many job seekers make the mistake of using generic bullet points that don’t really tell a story or provide any context about their experience.

Instead, you should use your bullet points to tell a story about your work. And that story should be as specific as possible. For example, rather than saying you “analyzed data,” you could say you “analyzed data from customer surveys to identify trends and recommend new product features.”

The second bullet point is much more specific and provides more detail about what exactly you did and the results of your work.

Identify and Include Relevant Keywords

Keywords are important when you’re applying for a data analyst role. Most job postings include a list of required skills and experience, and the keywords in your resume can help determine whether your application makes it past the initial screening process.

To make sure your resume contains the right keywords, read through a few data analyst job postings and take note of the terms that keep popping up. Then, work those terms into your resume where it makes sense.

Some common data analyst keywords are:

  • R (Programming Language)
  • Python (Programming Language)
  • Data Analysis
  • SQL
  • Tableau
  • Data Visualization
  • Analytics
  • Machine Learning
  • Data Mining
  • Data Science
  • Statistics
  • Microsoft Power BI
  • Databases
  • Predictive Analytics
  • SQL Server
  • SQL Server Analysis Services (SSAS)
  • SAS
  • R Project
  • Data Analysis & Statistical Data Visualization
  • Business Analysis
  • Data Analytics
  • Business Intelligence (BI)
  • Business Intelligence Tools
  • SQL Server Reporting Services (SSRS)
  • Stata
  • Research
  • Time Management
  • Teamwork
  • Customer Service
  • Sales

Showcase Your Technical Skills

Data analysts use a variety of software programs and systems to manage and analyze data. They rely on programs like Microsoft Excel, SQL, and Tableau to perform their work. Additionally, data analysts need to be familiar with big data platforms and technologies like Hadoop, Hive, and Spark. So if you have experience with any of these programs or platforms, be sure to list them on your resume.


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