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Data Monitoring Jobs in New Jersey (NOW HIRING)

COPS Monitoring

DATA ENTRY ASSOCIATE

Williamstown, NJ · On-site

$15.75 - $20.50/hr

For over 40 years, our company has provided alarm monitoring services to homes and businesses ... Collecting data from our customers and entering it accurately into databases * Research and obtain ...

Kelly Services

Senior Master Data Analyst

New Brunswick, NJ · On-site +1

$88K - $112K/yr

Monitoring & Reporting: Maintain data quality dashboards, scorecards, and Key Performance Indicators; identifying trends and improvements * Cross-Organization Engagement: Partner with different ...

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How much do data monitoring jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data monitoring in New Jersey is $29.54, according to ZipRecruiter salary data. Most workers in this role earn between $15.27 and $40.17 per hour, depending on experience, location, and employer.

What is a data monitoring?

A Data Monitoring job involves tracking, analyzing, and ensuring the accuracy and integrity of data within a system or organization. Professionals in this role identify inconsistencies, detect anomalies, and maintain data quality by implementing validation processes. They often work with databases, reporting tools, and automation to monitor data in real-time. This role is critical in industries like healthcare, finance, and technology to ensure compliance and informed decision-making.

What are the typical responsibilities of a data monitoring professional on a day-to-day basis?

Data Monitoring professionals are responsible for continuously tracking and analyzing data streams for accuracy, consistency, and adherence to quality standards. Daily tasks often include reviewing data dashboards, investigating anomalies, generating reports, and collaborating with data analysts, engineers, and business stakeholders to address issues. You may also be involved in developing or refining data monitoring processes and ensuring data integrity across different systems. This role is vital for organizations that rely on accurate, real-time data to inform decisions and maintain compliance.

What are the key skills and qualifications needed to thrive in the data monitoring position, and why are they important?

To thrive in Data Monitoring, you need strong analytical skills, attention to detail, and a good understanding of data management principles, often supported by a degree in statistics, computer science, or a related field. Familiarity with monitoring software, SQL, Excel, and data visualization tools, as well as certifications like CompTIA Data+, are commonly sought after. Excellent problem-solving abilities, effective communication, and the ability to work both independently and collaboratively help professionals stand out. These skills ensure accurate data oversight, quick identification of anomalies, and clear reporting to support informed business decision-making.

Is data monitoring a stressful job?

Data monitoring can be stressful depending on workload, deadlines, and the complexity of the data being analyzed. The role often requires attention to detail, use of monitoring tools, and sometimes working in fast-paced environments, which can contribute to stress levels. However, many professionals find it manageable with proper organization and experience.

What are popular job titles related to Data Monitoring jobs in New Jersey?

For Data Monitoring jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Monitoring jobs in New Jersey look for?

The top searched job categories for Data Monitoring jobs in New Jersey are:

Data Monitoring jobs near you
Infographic showing various Data Monitoring job openings in New Jersey as of August 2026, with employment types broken down into 78% Full Time, 6% Part Time, and 16% Contract. Highlights an 88% In-person, 8% Hybrid, and 4% Remote job distribution, with an average salary of $61,449 per year, or $29.5 per hour.

Data Management Analyst, Denials AI

Parsippany, NJ • On-site

Med-Metrix
Health Care and Social Assistance • 51 - 200 employees

6.9

Company rating: 6.9 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

287th of 496 rated business services

Recommended by parents

Respectful managers

Good training

Learn more about Med-Metrixexternal

Full-time

Posted 5 days ago

Job description

Job Purpose
The Data Management Analyst, Denials AI is responsible for ensuring all activated DenialsAI account cases are successfully created and actively being worked. The Data Management Analyst, Denials AI performs daily data monitoring and reconciliation to identify gaps in case creation, case progression, user activity, and appeal output.
Duties & Responsibilities
  • Perform daily monitoring and reconciliation of all activated DenialsAI accounts to verify case creation completeness and accuracy
  • Identify accounts where cases are not being created, not progressing through workflow statuses, or not generating expected appeal output
  • Investigate root causes of data discrepancies across the DenialsAI pipeline
  • Build and maintain reports and dashboards tracking account health, case creation success rates, and operational activity metrics
  • Communicate identified gaps to engineering, operations, client services, and external stakeholders with supporting data and recommended categorization
  • Track gap resolution metrics including time-to-resolution, recurrence rates, and coverage percentages
  • Maintain a KPI scorecard measuring idle accounts, resolution SLA adherence, and active account coverage
  • Define and monitor thresholds for case creation failures and operational inactivity in collaboration with operations leadership
  • Validate data accuracy across reports provided to operations and client teams
  • Other duties as assigned
  • Use, protect and disclose patients' protected health information (PHI) only in accordance with Health Insurance Portability and Accountability Act (HIPAA) standards
  • Understand and comply with Information Security and HIPAA policies and procedures at all times
  • Limit viewing of PHI to the absolute minimum as necessary to perform assigned duties

Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or related field required
  • 3+ years of experience in data analysis, preferably in healthcare technology or revenue cycle management required
  • Strong SQL skills with the ability to write complex queries across multiple data sources and large datasets
  • Experience building reports and dashboards for operational monitoring (e.g., Tableau, Power BI, or similar)
  • Familiarity with data pipelines and ETL processes; ability to trace data flow across system layers
  • Knowledge of healthcare claims data and denial management workflows preferred
  • Experience with AWS data services (Athena, S3, Glue) preferred
  • Proficiency in Microsoft Office Suite
  • Strong interpersonal skills, ability to communicate well at all levels of the organizationStrong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses
  • High level of integrity and dependability with a strong sense of urgency and results oriented
  • Excellent written and verbal communication skills required

Working Conditions
  • Must possess a smart-phone or electronic device capable of downloading applications, for multifactor authentication and security purposes
  • Physical Demands: While performing the duties of this job, the employee is occasionally required to move around the work area; Sit; perform manual tasks; operate tools and other office equipment such as computer, computer peripherals and telephones; extend arms; kneel; talk and hear
  • Mental Demands: The employee must be able to follow directions, collaborate with others, and handle stress
  • Work Environment: The noise level in the work environment is usually minimal

Med-Metrix will not discriminate against any employee or applicant for employment because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, veteran status, other non-merit based factors, or any other characteristic protected by federal, state or local law.

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