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Remote Data Quality Reviewer Jobs (NOW HIRING)

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Specialist, Data Entry Junior (Remote)

Lodi, CA · Remote

$18.25 - $24.25/hr

About the job Specialist, Data Entry Junior (Remote) CHECK YOUR EMAIL, INCLUDING YOUR SPAM FOLDER ... Conduct data quality checks and resolve discrepancies in a timely manner. * Collaborate with other ...

Only Data Entry

Junior Data Entry Clerk (Remote)

Chicago, IL · Remote

$17.50 - $23.50/hr

About the job Junior Data Entry Clerk (Remote)CHECK YOUR EMAIL, INCLUDING YOUR SPAM FOLDER, FOR ... Conduct data quality checks and resolve discrepancies in a timely manner.Collaborate with other ...

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How much do remote data quality reviewer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote data quality reviewer in the United States is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $36.30 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Data Quality Reviewer, you generally need strong analytical abilities, attention to detail, and experience with data validation, often supported by a bachelor's degree in a relevant field such as statistics, computer science, or information management. Familiarity with data management tools, spreadsheet software (like Excel), and database systems, as well as knowledge of quality assurance frameworks, is typically required. Excellent written communication, critical thinking, and the ability to work independently are important soft skills for this remote position. These capabilities ensure accurate data assessment, help maintain data integrity, and contribute to reliable decision-making across organizations.

What are some common challenges faced by Remote Data Quality Reviewers, and how can they be addressed?

Remote Data Quality Reviewers often encounter challenges such as managing large data sets, maintaining focus during repetitive review tasks, and ensuring effective communication with distributed teams. Staying organized with clear workflow tools and setting regular check-ins with team members can help mitigate feelings of isolation and prevent errors. Additionally, leveraging automated validation tools and maintaining up-to-date documentation ensures consistency and accuracy in data review processes.

What is a Remote Data Quality Reviewer?

A Remote Data Quality Reviewer is a professional who evaluates and ensures the accuracy, completeness, and reliability of data collected or processed by an organization, all while working from a remote location. Their duties often include checking data for errors, inconsistencies, or missing information, and recommending corrections or improvements. They may work with various types of data, such as customer records, survey responses, or financial information, depending on the industry. This role is crucial for maintaining high data standards and supporting decision-making processes within a company.
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Remote Data Quality Reviewer jobs near you
Infographic showing various Remote Data Quality Reviewer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $54,583 per year, or $26.2 per hour.

Remote Data Quality Analyst

Easy Recruiter

Ocean Ridge, FL • Remote

Full-time

Posted 4 days ago

Job description

About the job Remote Data Quality Analyst Description We are growing our enterprise data team of analysts, architects and engineers. This team is responsible for data governance, business intelligence, enterprise data architecture, data analytics, and ensuring that data is managed as a core corporate asset at OReilly. As a member of the enterprise data team, you will work collaboratively with engineering, product, security, data science, legal, and individuals throughout all areas of the business to ensure reliability, quality, and trustworthiness of data used for business decision making.

About The Job As a Data Quality Analyst you will be responsible for helping OReilly ensure the reliability of our enterprise data. Data is one of our most important assets, and as a member of our data team you'll be responsible for helping us manage it. We are looking for a candidate who not only has the data analysis skills to successfully investigate, analyze and respond to day-to-day business issues, but also someone who has the ideas, experience and desire to help us build proactive solutions that will help us improve and grow the reliability, consistency and quality of our data platform as our company grows.

You Will Investigate and manage questions and incidents related to enterprise data for root cause analysis. Work with engineers to provide recommendations on solutions to existing data quality issues Design, build and monitor key quality metrics dashboards, alerts and other monitoring tools Implement proactive anomaly detection to identify potential data streams with errors; covering both the known and unknown Collaborate on the design of a data quality framework Work with data architects, product managers, engineers and business intelligence analysts to understand and define clear data definitions and conventions across the organization Work with product managers and architects on product changes to help ensure an accurate understanding of the use and impact of data to ensure quality and reduce risk Work directly with end users to define, understand and help solve questions and problems around data Documentation of data classification, definitions and requirements across all data domains About You You have strong data analytics skills You have proven experience doing data analysis at an enterprise level Minimum Requirements Bachelor's Degree required 3+ years of experience doing similar work Advanced knowledge in SQL Previous experience with data analysis and data profiling Experience working with a Data Governance Framework Technical competency with cloud database technologies A basic knowledge of Python Bonus Points Degree in statistics, mathematics, computer science, information management, or similar Technical competency in ETL / ELT tools Experience with digital analytics tools, like Google Analytics or Omniture Hands-on experience with reporting technologies like Power BI Familiarity with Data Governance tools like Collibra or Erwin #J-18808-Ljbffr

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