Data Operations Analyst Resume Example & Writing Guide

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

Data analysts are tasked with analyzing data sets to uncover trends and patterns, identify opportunities, and recommend solutions. They’re often thought of as the “data detective” of an organization, digging into spreadsheets to find answers and make sense of large amounts of information.

Data analysts work with a wide variety of data types, from customer surveys and financial reports to social media chatter and web traffic data. And while it’s important to have a strong grasp on the numbers, it’s just as important to be able to communicate your findings clearly and effectively to other members of your organization.

If you’re looking to break into the data analyst field or just looking to land a new job with a new employer, you’ll need a resume that showcases your unique skills and experience. Here are some tips and an example to follow when writing yours.

James Smith
Phoenix, AZ | (123) 456-7891 | [email protected]

Seasoned data operations analyst with experience in data mining, warehousing, and business intelligence. Proven ability to streamline data processes, develop reporting tools, and improve data accuracy. Seeking a position that will allow me to utilize my skills and knowledge to make an impact on the business.

Arizona State University Jun '10
B.S. in Mathematics
Company A, Data Operations Analyst Jan '17 – Current
  • Developed and implemented data warehouse ETL processes to support the migration of legacy systems into a modernized environment.
  • Designed, developed, tested, deployed, and maintained SQL Server Integration Services (SSIS) packages for loading data from multiple sources including mainframe DB2 and Oracle databases as well as flat files such as Excel spreadsheets.
  • Analyzed business requirements to determine appropriate solutions using existing technologies and tools available in the organization.
  • Provided technical expertise on database design best practices and participated in project scoping meetings with stakeholders to identify scope of work required by the team.
  • Participated in daily stand-up meetings with cross-functional teams to ensure effective communication throughout all phases of projects and ensured that deliverables are met within established timelines.
Company B, Data Operations Analyst Jan '12 – Dec '16
  • Created and maintained data warehouse using SQL Server, including ETL processes to load data from various sources
  • Implemented new system for tracking customer service tickets that improved efficiency by 25%
  • Analyzed large datasets (upwards of 100M records) in Excel with pivot tables and VBA macros
  • Conducted weekly performance reviews on all team members based on metrics tracked in database
  • Developed automated reporting tools using Crystal Reports for executive management review meetings
Company C, Data Entry Clerk Jan '09 – Dec '11
  • Entered data into computer systems using various software programs, including Microsoft Office and Excel.
  • Maintained confidentiality of sensitive information.
  • Created and maintained spreadsheets to track data.
  • Certified in Data Quality (CDQ)
  • Certified Six Sigma Black Belt
  • Certified Information Management Professional (CIMP)

Industry Knowledge: Data Warehousing, Data Integration, ETL, OLAP, Data Quality, Data Modeling
Technical Skills: SQL Server, Cognos, Business Objects, Excel, Power BI, Python, Tableau, QlikView
Soft Skills: Communication, Teamwork, Problem Solving, Critical Thinking, Leadership, Public Speaking

How to Write a Data Operations Analyst Resume

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

Write Compelling Bullet Points

When you’re writing bullet points, it can be tempting to focus on the tasks you performed. But that’s not always the most effective approach.

Instead, you can use your bullet points to showcase your key accomplishments. So rather than saying you “analyzed data,” you could say you “analyzed data to identify opportunities for cost savings and increased revenue, resulting in $1 million in new revenue over the past year.”

The second bullet point paints a much clearer picture of what you did and the results of your work. And it provides a specific number to demonstrate the scale of your impact.

Identify and Include Relevant Keywords

When you submit your resume for a data operations analyst role, it’s likely that it will be scanned by an applicant tracking system (ATS) for certain keywords. These programs look for certain terms related to the job like “data analysis” and “database management” in order to determine whether your skills are a match for the job opening. If you don’t have enough of the right keywords on your resume, the ATS might discard your application before a human ever sees it.

To increase your chances of getting an interview, use this list of common data operations analyst keywords as a starting point to help you identify the skills, experience, and qualities that are most relevant to the position:

  • Extract, Transform, Load (ETL)
  • Data Analysis
  • SQL
  • SQL Server Integration Services (SSIS)
  • Data Quality
  • Databases
  • Data Warehousing
  • Data Governance
  • Requirements Analysis
  • Business Analysis
  • Python (Programming Language)
  • Tableau
  • R (Programming Language)
  • Requirements Gathering
  • Data Management
  • SAS
  • Microsoft SQL Server
  • Microsoft Power BI
  • Data Visualization
  • Big Data
  • Data Modeling
  • Data Mining
  • Unix
  • MongoDB
  • PostgreSQL
  • Hive
  • Data Analysis
  • SQL Server Reporting Services (SSRS)
  • Data Integration
  • Microsoft Azure

Showcase Your Technical Skills

As a data operations analyst, you will be responsible for managing and analyzing data. This will require you to be proficient in the use of various software programs and systems. Some of the most commonly used programs in this field are Microsoft Excel, Access, and SQL. Additionally, data operations analysts need to be able to use statistical software programs, such as SAS and SPSS.


Head Librarian Resume Example & Writing Guide

Back to Resume

Digital Marketing Account Manager Resume Example & Writing Guide