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Data Operations Associate Jobs (NOW HIRING)

Cambridgeassociates

Analyst, Data Operations

Dallas, TX · On-site

Cambridge Associates ("CA") is a leading global investment firm. CA's goal is to help endowments ... Data Operations, within Global Operations, plays an integral role in managing the firm's trading ...

Vantage Energy Advisory

Operations Associate

Rye Brook, NY · Hybrid

$25K - $35K/yr

Position: Operations Associate (Part-Time) Location: In-office 4 days/week + Fridays remote ... Strong Excel skills are essential, since much of the work involves managing and maintaining data in ...

New

Vizient

Senior Associate, Data Operations

Chicago, IL

$77K - $135K/yr

In this role, you will independently manage complex data intake, validation, and quality operations ... Mentor junior associates on procedural data concepts, validation approaches, and effective ...

JCL Services LLC

Operations Associate

Denver, CO · On-site

$102K - $105K/yr

Operations Associate: JCL Services, LLC seeks Operations Associate to work in Denver CO, MSA: 175 ... Data Systems & Reporting: maintain accurate & complete records in the org's grants mgmt & acct ...

Tokio Marine HCC

Operations Associate

Alpharetta, GA · On-site

Operations Associate Location: Alpharetta, GA (Hybrid) Reports to: Operations Supervisor Employment ... Enter client and policy data into computer systems/applications/databases. * Issue insurance ...

Calsoft Systems

Operations Associate

Torrance, CA

$41K - $52K/yr

As a Sales Fulfillment Associate/Operations Associate, you will play the vital role of coordinating ... Ensure data integrity of all customer order and related data within the ERP system and other ...

Cambridgeassociates

Analyst, Data Operations

Dallas, TX · On-site

Cambridge Associates ("CA") is a leading global investment firm. CA's goal is to help endowments ... Data Operations, within Global Operations, plays an integral role in managing the firm's trading ...

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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 16, 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:
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Data Operations Associate jobs near you
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.

Associate Director, Data Operations

Omnicom Media US PHD

Chicago, IL • On-site

$70K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work.
About the Team
The Data Operations team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients' business goals.
Responsibilities
External facing responsibilities:
  • Lead taxonomy strategy conversations across key stakeholders for breakout of media reporting
  • Development of data warehouse and visualization dashboards
  • Creation and maintenance of calculated measurements and dimensions
  • Development of dashboards using data visualization tools such as Datorama and Tableau
  • Consult with subject-matter experts to design and develop business rules for data processing
  • Setup and maintenance of data streams using business intelligence tools
  • Lead taxonomy strategy conversations across key stakeholders for break out of media reporting
  • Gather reporting requirements for internal/external dashboard & reports
  • Proactively elevate and resolve project roadblocks and issues
  • Manage project plans for internal/external reporting across internal teams
  • Provide ongoing technical support for data ops processes and taxonomy recommendations
  • Ensuring timely follow through on all scheduled and ad hoc deliverables
  • Ensures compliance of data quality standards

Internal facing responsibilities:
  • Drive adoption of reporting automation across teams
  • Facilitate communication and progression of tasks through regular status meetings and working sessions
  • Setup ongoing QA process and cadence
  • Lead, mentor and train junior level staff and offshore teams
  • Create, gather and write data-related standards and processes documents
  • Propose and generate targeted solutions on data quality issues and operational inefficiencies

Required Skills
  • Data Collection and Processing: Experienced in building data visualization solutions (Tableau, Datorama, etc.) as well as automation solutions (Alteryx, Datorama, etc.)
  • Excellent presentation and communication skills
  • Advanced knowledge of the function and formation of standardized taxonomy practices for more accurate and efficient data collection & automation
  • Expert in QA resolution
  • Experienced with planning, optimization and analysis tools (Planit, Prisma, DDS)
  • Demonstrated familiarity with self-serve tools within Search platforms (Google Ads, Bing, SA360), Programmatic DSPs (DV360, Yahoo, etc.), Ad Servers (CM360, Innovid, etc.), Social Platforms (Meta, Pinterest, TikTok, etc.) and Google Suite (Marketing Platform, Tag Manager, Analytics, Merchant Center)
  • Excellent project management skills

Education and Experience
  • A university degree in a related field, and 5-7 years of experience in advertising, management consulting, marketing or digital consulting
  • Knowledge of agency-side execution processes

#LI-CC2
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$70,000-$130,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
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