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Data Operations Assistant Jobs in Ridgewood, NJ (NOW HIRING)

Operation Assistant

New York, NY · On-site

$60K - $80K/yr

Office Administration: * Manage general office operations and supplies. * Provide ad-hoc ... If you would like more information about how your data is processed, please contact us.

Operation Assistant

New York, NY · On-site

$60K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Office Administration: * Manage general office operations and supplies. * Provide ad-hoc ... If you would like more information about how your data is processed, please contact us.

Showing results 41-60

Data Operations Assistant information

See Ridgewood, NJ salary details

$11

$20

$31

How much do data operations assistant jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data operations assistant in Ridgewood, NJ is $20.05, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $22.60 per hour, depending on experience, location, and employer.

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 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 with technical skills or certifications can earn higher wages.

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 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.

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 most commonly searched types of Data Operations jobs in Ridgewood, NJ?

The most popular types of Data Operations jobs in Ridgewood, NJ are:

What job categories do people searching Data Operations Assistant jobs in Ridgewood, NJ look for?

The top searched job categories for Data Operations Assistant jobs in Ridgewood, NJ are:

What cities near Ridgewood, NJ are hiring for Data Operations Assistant jobs?

Cities near Ridgewood, NJ with the most Data Operations Assistant job openings:

Infographic showing various Data Operations Assistant job openings in Ridgewood, NJ as of June 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,707 per year, or $20.1 per hour.

AVP, Data Solutions Engineering - Investments

Fortitude Re

Jersey City, NJ • Hybrid

$119K - $143K/yr

Full-time

Re-posted 2 days ago


Job description

The Assistant Vice President, Data Solutions Engineering will be responsible for building operational data pipelines and delivering fully documented datasets that account for data integrations. This role is engaged and aligned with our business partners to understand their needs and build data engineering solutions to address these needs. The role will report to the VP, Data Solutions Engineering.  

This role will be based in our Jersey City, NJ office on a hybrid basis.

What You Will Do: 

  • Deliver well-architected data solutions in partnership with data platform engineers, data governance, data science, and data analytics/visualization peers. 

  • Partner with business teams to design data solutions with the ability to mentor early career data engineers.  

  • Lead build-out and deployment of data pipelines. 

  • Ensure reliability, scalability and governance of data pipelines. 

What You Will Have: 

  • Bachelor's degree in Math, Computer Science or Engineering. 

  • Strong understanding of ETL/ELT, APIs, Cloud, data operations. 

  • Domain knowledge of Actuarial, Investment and Finance within Insurance/Reinsurance industry is a plus. 

  • Minimum experience of seven years in a growing data engineering role, with at least five years in programming (Python) and SQL. 

  • Robust knowledge of data lakes, data governance and modern data quality techniques. 

  • Excellent analytical, problem solving and conceptual skills. 

  • Strong verbal and written skills. 

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