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Data Operations Assistant Jobs in Columbus, OH (NOW HIRING)

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Data Operations Assistant information

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$10

$19

$29

How much do data operations assistant jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data operations assistant in Columbus, OH is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $21.59 per hour, depending on experience, location, and employer.

What is a data operations assistant?

Data Operations Assistants support the management, processing, and quality control of data within an organization. They handle tasks such as data entry, updating records, verifying accuracy, and assisting with data reporting. Their role helps ensure that business data is accurate, up-to-date, and easily accessible for analysis or decision-making. They often work closely with data analysts, IT teams, or operations managers to maintain data integrity and streamline workflows.

What are the key skills and qualifications needed to thrive as a data operations assistant?

To thrive as a Data Operations Assistant, you need strong analytical skills, attention to detail, and proficiency with data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with database systems, Microsoft Excel, and data management software such as SQL or CRM platforms is typically required. Excellent organizational abilities, problem-solving skills, and effective communication help you stand out in this position. These skills and qualities are crucial for ensuring data accuracy, supporting business operations, and facilitating informed decision-making.

What are some common challenges faced by data operations assistants, and how can they be overcome?

Data Operations Assistants often encounter challenges such as managing large volumes of data with tight deadlines, ensuring data accuracy, and coordinating with multiple departments for seamless data flow. To overcome these, it’s important to develop strong organizational and communication skills, become proficient in data management tools, and establish clear processes for data validation. Regular collaboration with team members and proactive troubleshooting can help minimize errors and improve workflow efficiency.

What is the difference between Data Operations Assistant vs Data Analyst?

AspectData Operations AssistantData Analyst
Required CredentialsAssociate degree or relevant certificationsBachelor's degree in data-related fields
Work EnvironmentData entry, data management, support rolesData interpretation, reporting, analysis
Employer & Industry UsageBusinesses needing data support, administrative tasksOrganizations analyzing data for insights
Search & Comparison IntentUnderstanding support roles in data managementAnalyzing data to inform decisions

The Data Operations Assistant primarily handles data entry, management, and support tasks within organizations, often requiring an associate degree or relevant certifications. In contrast, a Data Analyst focuses on analyzing data, creating reports, and deriving insights, typically holding a bachelor's degree. While both roles work with data, the Assistant supports data workflows, whereas the Analyst interprets data for strategic purposes.

Is data operations a good job?

Data operations is a vital role that involves managing and maintaining data systems, ensuring data quality, and supporting data workflows. It often requires skills in database management, data analysis, and familiarity with tools like SQL and data pipelines. The job can offer stable employment and opportunities for skill development in data management environments.

What is a data operations assistant's salary?

The salary for a data operations assistant typically ranges from $40,000 to $60,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced assistants or those in high-demand areas can earn more. Skills in data management tools and attention to detail are often valued in this role.

What are the most commonly searched types of Data Operations jobs in Columbus, OH?

The most popular types of Data Operations jobs in Columbus, OH are:

What are popular job titles related to Data Operations Assistant jobs in Columbus, OH?

For Data Operations Assistant jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Data Operations Assistant jobs in Columbus, OH look for?

The top searched job categories for Data Operations Assistant jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Data Operations Assistant jobs?

Cities near Columbus, OH with the most Data Operations Assistant job openings:

Infographic showing various Data Operations Assistant job openings in Columbus, OH as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,816 per year, or $19.1 per hour.

QA Test Automation Lead

Sidram Technologies

Columbus, OH • On-site

Contractor

Re-posted 19 days ago


Job description

Hi ,

This is Rachael from SidRam Tech, We have an urgent position Backend QA Test Automation Lead – 7819 @ Columbus OH

Backend QA Test Automation Lead – 7819

Location -Columbus OH

Contract to Hire

C2C/w2

USC/H4EAD/H1B

Huntington Bank is looking for a QA Test Automation Lead in our Data Lake and Data Warehouse team. In this role you will be part of a team working to develop solutions enabling the business to leverage data as an asset at the bank.  As a QA Test Automation Lead, you will work to develop automation test strategies and frameworks ensuring all IT SDLC processes are documented and practiced, working closely with multiple technologies teams across the enterprise.  Key technologies include Azure DevOps, Python, AWS S3, Snowflake, Zena, and DataStage.

If you consider data as a strategic asset, evangelize the value of good data and insights, have a passion for learning and continuous improvement, this role is for you.

Key Responsibilities

  • Lead quality assurance efforts for multiple concurrent projects focused on data ingestion and integration, ensuring alignment with banking regulatory standards.
  • Design, implement, and maintain automated testing frameworks and CI/CD pipelines to support scalable and secure data operations.
  • Develop and execute comprehensive test strategies covering System Integration Testing (SIT) and closely partner with the team for User Acceptance Testing (UAT).
  • Collaborate with data engineers, developers, project managers, and compliance teams to ensure data quality, integrity, and traceability throughout the ingestion lifecycle.
  • Drive continuous improvement in QA processes
  • Design and implement a scalable test automation framework and strategy.
  • Create daily/weekly test execution metrics and status reporting.
  • Assist the Project Managers/Scrum Masters to drive project team to defect resolution.
  • Leverage existing tools/techniques to streamline and automate wherever possible.
  • Actively participate in walk-through, inspection, review and user group meetings for quality assurance.
  • Actively participate in the review of project requirements, data mappings and technical design specifications.
  • Analyze data, troubleshoot data issues, and create action plans to address data quality issues. 
  • Collaborate with project team on defect analysis and triage. 
  • Participate in production implementation verification and being accountable for validating system quality

Basic Qualifications

  • Bachelor's degree
  • 5+ years of ETL testing experience in data warehouse environment
  • 3+ years of test automation experience
  • 2+ years of experience with Snowflake and AWS
  • 2+ Experience leading QA Analysts on a project team

Preferred Qualifications

  • Experience in financial services (banking) industry.
  • Strong experience with SQL, ETL testing, and data warehouse concepts (e.g., star/snowflake schema, OLAP)
  • Proficiency in test automation tools such as Cucumber, Selenium, PyTest, or DBT tests.
  • Experience with cloud data platforms (Snowflake, AWS).
  • Familiarity with CI/CD tools (Azure DevOps).
  • Excellent verbal and written communications skills.
  • Ability to effectively prioritize and execute tasks.
  • Detail oriented and highly motivated with strong organizational, analytical and problem-solving skills.

Rachael

IT Services | Development | Staffing

URL: http:/www.sidramtech.com |

Email: rachael@sidramtech.com

Direct: 4705239688

Led by 25+ Years of Industry Experience

 

 

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