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.
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.
Related: What Is a Data Analyst? How to Become One
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.
Related: How Much Does a Data Analyst Make?
Remember The Basics
As you’re writing your resume, you’ll want to keep a few basic guidelines in mind.
Create Scannable Sections
There are a few things you can do to your resume to make it more legible and easier to scan. Left-align your text, use a standard font type and size, and keep your bullets under 2 lines. Additionally, try to leave some white space on the page to make the document less overwhelming.
Be Concise
There is no one-size-fits-all answer to this question – the ideal resume length varies depending on your experience and the role you are applying for. However, most resumes should be one or two pages long, and you should always tailor your resume to the specific job you are applying for. When in doubt, keep it concise and focus on the most relevant information.
Proofread
Proofreading your resume is important in order to make sure it looks professional and error-free. Spell checking is a must, as are punctuation and grammar checks. It is also helpful to have someone else proofread your resume for you, as they may catch mistakes that you have missed. Beware of easily confused words, and make sure that your tense is consistent throughout the resume.
Consider Including a Summary
A resume summary statement is an excellent way to introduce yourself to potential employers and communicate your goals. It can be a brief overview of your skills and experiences, as well as what you are looking for in your next job. When writing your summary, be sure to highlight your most relevant skills and experiences, and be specific about your career goals. Keep your summary brief and to the point, no more than 3-4 sentences.
Related Resume Examples