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Data Reviewer Jobs in Remote, OR (NOW HIRING)

... data discrepancies, and verification requests within the VA MPI system. * Monitoring project metrics and preparing regular reports for Government review. * Coordinating contractor staff activities ...

Participate in design walkthroughs, code reviews, and cross-team collaboration to ensure technical quality and continuity. * Provide on-call and production support for critical data hub and account ...

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking ... reviews Attend meetings, trainings and conferences scheduled individually and for the sales team ...

Support leadership reviews by synthesizing data into actionable insights and recommendations * Ensure messaging is tailored to different audiences (e.g., executive leadership, field operations, cross ...

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking ... Collaborate with sales, delivery and legal teams to review and finalize contractual agreements ...

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking ... Collaborate with sales, delivery and legal teams to review and finalize contractual agreements ...

Senior Front End Engineer - Avaya Infinity Platform

OR · On-site +1

$114K - $158K/yr

... in data-intensive real-time UIs - Participate in architecture decisions and advocate for ... review, pairing, and technical guidance - Integrate AI-assisted development tools thoughtfully ...

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Data Reviewer information

See Remote, OR salary details

$12

$26

$43

How much do data reviewer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for data reviewer in Remote, OR is $26.22, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $36.25 per hour, depending on experience, location, and employer.

What is the difference between Data Reviewer vs Data Analyst?

AspectData ReviewerData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fields; certifications like CDMP are commonBachelor's degree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common
Work EnvironmentMostly office-based, working with data validation tools and softwareOffice or remote, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in industries like finance, healthcare, and government for data quality assuranceUsed across industries for data-driven decision making and reporting

While both roles involve working with data, Data Reviewers focus on validating and ensuring data accuracy, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is the Job of a Data Reviewer?

A data reviewer helps an organization review and interpret data for accuracy and interpretation. Data reviewers are necessary for many fields, including software development, quality assurance, medical and health care professions, and accounting, to name a few. Your responsibilities and duties are to look through collected data that has been entered into a spreadsheet or other database. You check it for any errors and manage issues you find. Some data reviewer positions, such as in medical research, include an analytical component; you help the research team to glean insight from the collected data.

What are Data Reviewers?

Data Reviewers are professionals responsible for examining, verifying, and validating data to ensure its accuracy, completeness, and compliance with established standards or regulations. They typically work with large datasets, reviewing and identifying errors or inconsistencies, and may also recommend or implement corrective actions. Data Reviewers play a crucial role in maintaining the quality and reliability of information used in various industries, such as healthcare, finance, and research.

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

To thrive as a Data Reviewer, you need strong analytical skills, attention to detail, and typically a background in life sciences, statistics, or a related field. Familiarity with data management systems, electronic data capture (EDC) platforms, and compliance standards such as GCP is commonly required. Excellent problem-solving, critical thinking, and communication skills help you identify discrepancies and collaborate with cross-functional teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and the reliability of research outcomes.

What is a data reviewer's job?

A data reviewer is responsible for examining and validating data for accuracy, completeness, and consistency. They often use tools like spreadsheets or data management software and may follow established guidelines or standards to ensure data quality in various organizational contexts.

What jobs make $1,000,000 a year?

In the field of data review, high-level roles such as Chief Data Officer or senior data executives can earn close to or exceeding $1 million annually, especially in large corporations. These positions typically require extensive experience, advanced skills in data management and analytics, and often involve leadership responsibilities and strategic decision-making.

How does a Data Reviewer typically collaborate with other teams to ensure data quality?

Data Reviewers work closely with data entry specialists, analysts, and project managers to verify the accuracy and consistency of datasets. They often participate in cross-functional meetings to discuss data discrepancies and establish best practices for data validation. This collaboration helps maintain high-quality data standards and ensures that any issues are promptly identified and resolved, supporting the overall goals of the organization.

How much does a clinical data reviewer make?

A clinical data reviewer typically earns between $50,000 and $80,000 annually, depending on experience, location, and the complexity of the data reviewed. They often work with electronic data capture tools and may require knowledge of regulatory standards like GCP and FDA guidelines.

Is 40 too late for data science?

A Data Reviewer role involves analyzing and validating data quality, and transitioning into data science at age 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications or additional training, making age less of a barrier than skill and experience.
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Posted 18 days ago


Job description

Description

SUMMARY  

The Charge Capture Specialist is responsible for reviewing charges, coding, and documentation to ensure compliance with payer requirements, optimizing revenue, and minimizing billing errors. This position collaborates with clinical, billing, and coding teams to resolve discrepancies and identify opportunities for charge capture improvement.


PRINCIPAL ACTIVITIES & RESPONSIBILITIES:

  • Ensures accurate and timely charge capture processes for assigned service lines, maintaining standardization across relevant areas. 
  • Reconciles charges with source documents to ensure completeness and accuracy, while monitoring compliance with internal procedures and reporting issues of non-compliance. 
  • Reviews patient records and medical documentation to verify that all services are captured and documented in compliance with healthcare regulations and payer requirements. 
  •  Identifies billing errors or omissions and collaborates with relevant teams to correct and revise them promptly.
  • Works closely with physicians, clinicians, and other healthcare staff to clarify discrepancies or missing information related to charge documentation.
  • Trains staff involved in billing data entry and charge reconciliation to ensure procedures are understood and charges are accurate, timely, complete, and well-documented. 
  • Prepares reports and provides summary information to the Revenue Cycle team to ensure system-wide charge capture, proper billing, reimbursement, and compliance. 
  • Provides expertise to implement process improvements and system updates to prevent charge errors and omissions, while assisting in the maintenance of clinical charging systems.  
  • Maintains an up-to-date understanding of industry standards, payer policies, and coding changes to ensure compliance and accuracy. 
  • Ensures adherence to all privacy regulations, including HIPAA, when handling patient data and documentation.
  • Collaborates efficiently and effectively while consistently demonstrating professionalism and maintaining positive, respectful relationships with internal teams, external partners, and Tribal members.
  • Other duties as directed by management.  

LEVEL OF AUTHORITY & RESTRICTIONS:

  • This position requires working independently without overseeing others, with minimal authority in decision-making.

PHYSICAL & MENTAL DEMANDS:

  • Must be able to walk, talk, hear, use hands to handle, feel or operate objects, tools, or controls, and reach with hands and arms. 
  • Must be able to stand, walk, reach with hands and arms, and climb or balance.
  • Must be able to sit and type for long periods of time.
  • Vision abilities required by this job include close vision and the ability to adjust focus. 
  • May be required to push, pull, lift, and/or carry up to 40 pounds.

WORKING CONDITIONS & ENVIRONMENT:

  • Office setting is the standard environment.
  • Moderate noise level with frequent interruptions or distractions.
  • Must be willing and able to travel both locally and within the CTCLUSI service delivery area. 
  • May be required to attend meetings, conferences and Tribal events.


Requirements

MINIMUM JOB REQUIREMENTS:

  • Must be 18 years of age or older.
  • High School Diploma or equivalent.
  • Two (2) years of experience in healthcare revenue cycle operations, including professional charging, claims billing, coding, Charge Master maintenance, audit support, accounts payable/receivable, and regulatory experience.
  • Advanced knowledge of revenue cycle processes and medical billing to include CDM, UB, RAs and 1500.
  • Advanced knowledge of code data sets to include CPT, HCPCS, and ICD 10.
  • Advanced knowledge of NCCI edits, and Medicare LCD/NCDs.
  • Ability to review, analyze and interpret managed care contracts, billing guidelines, and state and federal regulations
  • Demonstrates excellent interpersonal skills and the ability to interact effectively with a variety of individuals and groups.
  • Excellent organizational and communication skills.
  • Demonstrates the ability to work independently and make sound independent judgment and have strong decision-making abilities.
  • Experience and proficiency in the use of Microsoft products (Excel, Outlook, PowerPoint, Word, etc).
  • Ability to communicate clearly and effectively in English, verbally, in writing or by other acceptable means. 
  • This position is considered a non-covered role per the CTCLUSI Background Investigations Policy. A state criminal background check and fingerprint-based background check will be required as a condition of employment.
  • This position is subject to pre-employment and other authorized drug and alcohol testing in accordance with company policy. 
  • Must have employment eligibility in the U.S.
  • Indian preference will be observed in the hiring process.