Your resume is the headliner of your job application, and as such, it needs to readily show your qualifications for the position. Increasingly, proper resume presentation includes the content that goes into it so your document makes it through the applicant tracking system and into the hiring manager’s hands.

Study our data analyst job description for creating a resume and learn how to use our writing guidelines specifically for this position. Learn what types of information to include in your resume so it is relevant to the job you desire. When you submit a flawless professional document, you increase your chance to get the position.

Using a Data Analyst Job Description for a Resume

Although there is a variety of career paths, experiences, and specialties in the data analyst profession, there are certain duties, skill sets, and certifications that are standard to this position. Employers will expect to see evidence of these common attributes on your resume.

Data Analyst Summary

The summary section of your resume is your chance to grab the hiring manager’s attention and impress from the very start. Make sure your list focuses on your most notable accomplishments in your most recent positions. Use metrics to show how your employer benefited from your efforts and use terms common to the data analyst profession to raise your relevance right away.

Data Analyst Education & Certification

The educational requirement for a data analyst is at least a baccalaureate degree in an analytical discipline such as computer science, information management, or statistics. Some jobs also want candidates to have education in advanced mathematics, economics, or finance. Make sure to not list your GPA, but feel free to mention any awards you received or relevant group memberships.

Having certifications in one or more database application language can really set you apart from the pack. Listing your certifications such as MongoDB Certified Developer Associate or SAS Certified Big Data Professional quickly establishes your technical mastery.

Data Analyst Duties & Responsibilities

Data analysts do more than just crunch numbers. They are responsible for the system design, implementation, and support of vast stores of data. The challenge is to keep all the data in order and accessible so its extraction and the creation of customized reports goes off without a hitch.

This involves programming software code to customize data flow processes in meaningful sequences. Another large responsibility is the creation of supporting documentation of the data processes and entity relationships.

Sourcing data, batch loading, and adhering to data warehouse process protocols are relevant associate roles in the data analyst profession. Another data analyst niche is testing, which includes planning, building, and execution of database tests.

Data Analyst Skills

It takes a unique set of skills to be a data analyst. Inherent in its name, robust analytical skills are mandatory for this career. Expectations of an increase in knowledge of a wide array of software languages continue as a data analyst moves up the ladder in his or her field. Basic support skills are important, especially at the beginning of a data analyst’s career, then the analyst learns file backup and data reporting skills. Examples of software include Veritas NetBackup, SAP Crystal Reports, and Apache Hive.

More advanced data analyst skills include database management with Oracle PL/SQL, document management with, for example, Teradata FastExport, and architecture such as Microsoft.NET Framework and Visual Basic Scripting Edition VBScript.

Assistant Manager Resume

Venkat Buhlyan
San Francisco, CA 11111
E: Venkat.Buhlyan@anymail P: 555-431-6259

Professional Summary

Experienced data analyst with an eye for optimizing data flow processes to save time and money. Team oriented worker with a self-starting work ethic to execute complex data processes. Committed to finding creative ways to stretch the limits of database architecture and function to add value to the organization. Interested in positions that allow me to grow my list of professional skills, pave the way for professional growth, and put me in a supportive team environment with a company that truly cares.

Skills and Qualifications

SAS certified Data Scientist
Experienced in managing the database development life cycle
Excellent communicator committed to team involvement
Oracle PL/SQL database management and optimization
Deep financial industry experience in system frameworks

Work Experience

Database Administrator – Mortgage Division – U.S. Bank

Optimize workflow process implementation, which resulted in a 25% reduction in contractor utilization in 2016 alone
Direct planning, execution, and implementation of customized system code
Manage associate staff in task process documentation
Executed full data archiving for the successfully completed transition to a new architecture in the Microsoft.NET Framework

Database Support Associate – Fairmont Health System

Acquired data from various branches of the company and completed its batch loading into the data system in an efficient manner
Created a data processing solution that resulted in a 15% decrease in Medicare claim processing time
Packaged reports with SAP Crystal Reports and resolved issues with data integration
Assisted in the database conversion processes

Associate Programmer – Allied Credit Union
Created code patches at the direction of the senior software engineer
Tested patch fixes in both test and live environments
Trained staff in the use of new system software
Supported full IT system function on a rotation basis with other associate staff

Education and Certifications

Stanford Data Mining and Applications Graduate Certificate – 2016
Oracle Business Intelligence Foundation Suite 11 Certified Implementation Specialist – 2014
SAS Certified Data Scientist / SAS 9 – 2012

Bachelor of Computer Science – 2009
University of California, Los Angeles
Program Manager, UCLA Rocket Club

How To Get Your Data Analyst Resume Past an ATS

To economize the amount of time it takes to sort through large numbers of resumes, companies increasingly use an automated pre-screening tool called an Applicant Tracking System (ATS) to narrow down the field of applicants. The ATS rates resumes for relevancy to the position via a scoring algorithm. It does this by searching for the keywords the employer predetermines are relevant for the position. Since these keywords and phrases are usually in the job description itself, it is imperative to use those same words and phrases in your resume.

Use the data analyst job description to create a resume that scores high with the ATS. You can do this by being strategic and consistent in your use of standard industry terms and words from the job description to increase the chances your resume will make it to the next round. Our resume sample is a great example of a professional document that uses relevant industry terms in a meaningful way to optimize its ATS score.

Review the data analyst resume example and search out what standard industry terms there are as well as find keywords for the data analyst position. Note how these words and phrases occur logically without looking like they got stuffed into the copy. The document includes the relevant software used in the positions along with keywords such as database architecture, batch loading, packaged reports, and development lifecycle. Management roles get mentioned in the most senior position held.

In addition to making sure your resume content is on point, remember to use a standard font in your document, such as Courier, as more decorative fonts are harder for ATS systems to read. Keep a simple strategy with your document headings, and use common ones such as professional summary and work experience so it is clear to the ATS what each section is about. Check your document multiple times to ensure you spelled everything correctly, as the ATS will not recognize an incorrectly spelled keyword.