Google Data Analyst Resume Example & Writing Guide
Use this Google Data Analyst resume example and guide to improve your career and write a powerful resume that will separate you from the competition.
As a data analyst, you have an opportunity to work with massive amounts of data to answer complex questions and identify trends. You’re in charge of gathering relevant information, analyzing it, and presenting your findings in a clear, concise manner.
Data analysts work in a wide variety of industries, from finance to healthcare to sports. Some data analysts specialize in a certain type of data, like customer behavior or market trends. Others are generalists who can work with whatever data comes their way.
Regardless of your specialty or focus, you need a solid foundation of data analysis skills to succeed in this role. And a great resume is your ticket into the job. Here are some tips and an example for reference when writing yours.
How to Write a Google Data Analyst Resume
Here’s how to write a resume of your own.
Write Compelling Bullet Points
The best bullet points are specific and use numbers whenever possible. For example, rather than saying you “analyzed data,” you could say you “analyzed data from 10 different sources to identify key insights about customer preferences.”
The second bullet point is much stronger because it provides specific details about what you did and the results of your work.
Identify and Include Relevant Keywords
When you apply for a job as a data analyst, your resume is likely to be scanned by an applicant tracking system (ATS) for certain keywords. This software looks for specific terms related to the job opening, like “data analysis” or “business intelligence” in order to determine whether your skills are a match. If your resume doesn’t include enough of the right keywords, the ATS might automatically reject your application.
To increase your chances of getting an interview, use this list of keywords to make sure they’re included in your resume:
- Google Data Studio
- Google Analytics
- Tableau
- Data Analysis
- Data Visualization
- Data Analytics
- Google Ads
- Google Sheets
- Google Analytics 360
- SQL
- Data Mining
- R (Programming Language)
- Data Modeling
- Data Analysis & Insights
- Data Management
- AdWords
- Data Mining & Data Warehousing
- Business Analysis
- SQL Server
- Business Intelligence (BI)
- Marketing Analytics
- Web Analytics
- Google Tag Manager
- Data Science
- Analytical Skills
- Big Data
- Google BigQuery
- Python (Programming Language)
- Machine Learning
- Google Ads API
Showcase Your Technical Skills
As a data analyst, you will be responsible for collecting, analyzing, and interpreting data. To do this effectively, you will need to be proficient in the use of various software programs and statistical methods. Some of the most commonly used programs include Excel, SPSS, and SAS. Additionally, you should have a solid understanding of big data concepts and platforms like Hadoop, Hive, and Spark.
If you have experience with any of these programs or platforms, be sure to list them on your resume. This will show potential employers that you have the skills and knowledge necessary to effectively perform the job.