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Data Cleaner Jobs (NOW HIRING)

We are looking for a Data Clean Up Specialist to support a manufacturing organization in St. Cloud, Minnesota with improving the accuracy and consistency of critical business records. This Long-term ...

... cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and ...

... cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and ...

... cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and ...

... cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and ...

... cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and ...

... cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and ...

... cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and ...

... cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and ...

Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance. * Data Modeling: Ability to design and implement data models. * Communication and Presentation: Strong ...

In this role you will be involved with data clean-up in the PLM of data objects and the correction and maintenance of attributes and other information; you will partner with business users to ...

Data clean rooms are redefining how the industry transacts on data. As signal loss accelerates and privacy regulation tightens, clean rooms have emerged as the primary vehicle for brands to connect ...

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Data Cleaner information

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How much do data cleaner jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data cleaner in the United States is $24.01, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $25.00 per hour, depending on experience, location, and employer.

What are Data Cleaners?

Data Cleaners are professionals who specialize in identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure the information is accurate, complete, and ready for analysis. Their work involves tasks such as removing duplicate records, filling in missing values, standardizing formats, and validating data against predefined rules. Data Cleaners play a crucial role in maintaining data quality, which is essential for reliable data analysis and decision-making in organizations.

What are some typical challenges faced by Data Cleaners when working with large datasets, and how can they be addressed?

Data Cleaners often encounter challenges such as inconsistent data formats, missing values, and duplicate records, especially when handling large datasets from multiple sources. Addressing these issues requires a solid understanding of data validation techniques and the use of specialized tools or programming languages like Python or SQL. Collaboration with data analysts or database administrators is also essential to clarify data requirements and resolve complex discrepancies, ensuring the cleaned data meets the organization's standards for analysis and reporting.

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

To excel as a Data Cleaner, you need a solid understanding of data management principles, attention to detail, and proficiency in data analysis, often supported by a degree in a quantitative field. Familiarity with data cleaning tools such as Microsoft Excel, Python (Pandas), SQL, and sometimes specialized ETL software is typically required. Strong problem-solving skills, patience, and the ability to communicate data issues clearly set outstanding Data Cleaners apart. These skills ensure that data is accurate, consistent, and reliable, which is crucial for effective analysis and business decision-making.

What is the difference between Data Cleaner vs Data Analyst?

AspectData CleanerData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data science, statistics, or related field
Work EnvironmentData processing centers, offices, remoteOffices, remote, or client sites
Industry UsageData management, IT, business servicesBusiness intelligence, finance, marketing, healthcare
Common Search/ComparisonOften compared for entry-level data rolesMore analytical, interpretative roles

Data Cleaners focus on preparing raw data by removing errors and inconsistencies, ensuring data quality. Data Analysts interpret cleaned data to generate insights and support decision-making. While both roles work with data, Data Cleaners handle data preparation, whereas Data Analysts analyze data to provide strategic recommendations.

More about Data Cleaner jobs
What cities are hiring for Data Cleaner jobs? Cities with the most Data Cleaner job openings:
What states have the most Data Cleaner jobs? States with the most job openings for Data Cleaner jobs include:
Data Clean Up Specialist

Data Clean Up Specialist

Robert Half

Saint Cloud, MN • On-site

$22 - $28/hr

Temporary

Posted 11 days ago


Job description

We are looking for a Data Clean Up Specialist to support a manufacturing organization in St. Cloud, Minnesota with improving the accuracy and consistency of critical business records. This Long-term Contract opportunity is ideal for someone who enjoys detailed data work, can identify inconsistencies, and takes ownership of resolving record issues with minimal supervision. The position will focus on strengthening data quality across vendor and item records while partnering with internal stakeholders to prepare information for review and approval.
Responsibilities:
• Audit and refine item master records in NetSuite, including catalog, assembly, and purchased items, as well as related bills of materials, to improve data accuracy.
• Examine vendor profiles for incomplete, outdated, or conflicting details and update records to maintain reliable master data.
• Organize and correct tax-related vendor documentation by confirming exemption status, digitizing paper W-9 forms, and updating tax identification information when needed.
• Identify duplicate or overlapping vendor or account records across multiple operating locations and consolidate them into clean, usable entries.
• Prepare exception reports and clearly documented record summaries so business stakeholders can complete final reviews and approvals efficiently.
• Investigate data discrepancies independently, raise unresolved issues promptly, and ask clarifying questions to ensure accurate outcomes.
• Maintain strong data integrity standards by applying careful validation checks throughout the cleanup process.
• Support project-related administrative and data entry tasks required to complete database cleanup objectives on schedule.• At least 2 years of relevant experience in data cleanup, data entry, administrative support, or related project-based work.
• Prior hands-on experience using NetSuite is required.
• Strong attention to detail with the ability to spot inconsistencies, missing information, and duplicate records.
• Ability to work independently, manage assigned tasks effectively, and follow through on issue resolution.
• Confidence in asking questions and escalating concerns when information is unclear or exceptions are identified.
• Experience maintaining vendor files, validating business records, and supporting data integrity initiatives.
• Working knowledge of data analysis and data cleaning practices in a business or operational environment.

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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948