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Data Operations Associate Jobs (NOW HIRING)

Data Operations Associate Job Summary: We are seeking an enthusiastic and detail-oriented Entry-Level Data Analyst to join our team. The candidate will help collect, organize, and analyze data to ...

Data Operations Associate

Woodbridge, NJ · On-site

$70K - $85K/yr

Bessemer Trust is seeking a CCO - Data Operations Associate to support data accuracy, integrity, and consistency across its trust accounting system and internal applications. The role is responsible ...

In this role, you will support data intake, validation, and quality operations supporting Vizient's Procedural Analytics product. You will analyze and validate hospital-based clinical, supply, and ...

In this role, you will support data intake, validation, and quality operations supporting Vizient's Procedural Analytics product. You will analyze and validate hospital-based clinical, supply, and ...

The Data Operations Associate is a key member of Wealthspire's Data Operations team, partnering closely with Client Operations and Client Service teams to support the accuracy, integrity, and ...

The Data Operations Associate is a key member of Wealthspire's Data Operations team, partnering closely with Client Operations and Client Service teams to support the accuracy, integrity, and ...

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Data Operations Associate information

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How much do data operations associate jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for data operations associate in the United States is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $30.29 per hour, depending on experience, location, and employer.

What does a Data Operations Associate do?

A Data Operations Associate is responsible for managing and maintaining the flow of data within an organization. They ensure data is collected, processed, and stored accurately, supporting data integrity and availability for business needs. Their duties often include monitoring data pipelines, troubleshooting data issues, and collaborating with teams to improve data processes. This role is critical in ensuring that reliable data is accessible for analytics, reporting, and decision-making.

What are some typical challenges faced by Data Operations Associates when managing large datasets across multiple platforms?

Data Operations Associates often encounter challenges such as ensuring data consistency and accuracy when integrating information from different sources. Managing data pipelines and troubleshooting data flow issues can be complex, especially as organizations scale and adopt new technologies. Collaborating with data engineers, analysts, and IT teams is essential for resolving discrepancies and maintaining the reliability of data systems. Regularly updating documentation and staying current with best practices in data governance helps address these challenges effectively.

What are the key skills and qualifications needed to thrive as a Data Operations Associate, and why are they important?

To thrive as a Data Operations Associate, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in information systems, computer science, or a related field. Familiarity with data processing tools, database management systems (such as SQL), and platforms like Excel or BI tools is typically required. Excellent problem-solving abilities, communication skills, and organizational aptitude help you coordinate with teams and ensure data accuracy. These competencies are essential for maintaining data integrity, enabling efficient workflows, and supporting informed business decisions.

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

AspectData Operations AssociateData Analyst
Primary FocusData management, processing, and ensuring data qualityAnalyzing data to generate insights and reports
Skills & CertificationsData management tools, basic SQL, attention to data accuracyData analysis, visualization, SQL, statistical skills
Work EnvironmentData teams, operations departments, often in tech or financeBusiness units, analytics teams, consulting firms

While both roles involve working with data, the Data Operations Associate primarily handles data management and quality assurance, whereas the Data Analyst focuses on analyzing data to inform business decisions. The roles often collaborate but serve different functions within organizations.

More about Data Operations Associate jobs
What cities are hiring for Data Operations Associate jobs? Cities with the most Data Operations Associate job openings:
What are the most commonly searched types of Data Operations jobs? The most popular types of Data Operations jobs are:
What states have the most Data Operations Associate jobs? States with the most job openings for Data Operations Associate jobs include:
Infographic showing various Data Operations Associate job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $54,588 per year, or $26.2 per hour.

Data Operations Associate

Dhalite Inc.

Columbus, OH

Other

Posted 23 days ago


Job description

Job Title: Data Operations Associate

Job Summary:
We are seeking an enthusiastic and detail-oriented Entry-Level Data Analyst to join our team. The candidate will help collect, organize, and analyze data to support business decisions. This position is ideal for entry level candidates or candidates looking to start their career in data analysis.

Responsibilities:
  • Collect, organize, and maintain data from different sources
  • Analyze data and prepare simple reports for management
  • Identify trends, patterns, and insights from data
  • Assist in maintaining accurate databases and records
  • Support teams by providing data-related information
  • Create charts, summaries, and presentations based on findings
  • Ensure data accuracy and consistency in reports
Requirements:
  • Bachelor’s degree in Mathematics, Statistics, Business, IT, or a related field
  • Basic knowledge of Microsoft Excel and data handling
  • Strong analytical and problem-solving skills
  • Good written and verbal communication skills
  • Attention to detail and accuracy
  • Ability to work in a team environment
  • Eagerness to learn and develop analytical skills
Preferred Skills:
  • Basic understanding of data reporting and analysis
  • Time management and organizational skills
  • Ability to handle confidential information professionally
 
 
 
 
 
 
 
 
 
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