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Data Cleaner Jobs (NOW HIRING)

AaraTechnologies Inc

DATA ANALYST

Virginia Beach, VA · Remote

Collect, clean, and analyze healthcare data from multiple sources * Create and maintain reports and dashboards using Tableau, Power BI, or Excel * Perform data validation, quality checks, and ...

AaraTechnologies Inc

DATA ANALYST

Texas City, TX · Remote

Collect, clean, and analyze healthcare data from multiple sources * Create and maintain reports and dashboards using Tableau, Power BI, or Excel * Perform data validation, quality checks, and ...

AaraTechnologies Inc

DATA ANALYST

Washington, DC · Remote

Collect, clean, and analyze healthcare data from multiple sources * Create and maintain reports and dashboards using Tableau, Power BI, or Excel * Perform data validation, quality checks, and ...

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

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 ...

Comrise

PLM Data Analyst

Redmond, WA · On-site

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 ...

Samba

Product Manager - Data Clean Rooms

New York, NY

$130K - $180K/yr

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 ...

Samba

Product Manager - Data Clean Rooms

Los Angeles, CA · On-site

$130K - $180K/yr

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 ...

Samba

Product Manager - Data Clean Rooms

Los Angeles, CA · On-site

$130K - $180K/yr

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 ...

Dexian

Lead Data Analyst

Redmond, WA · On-site

Overall running full process from data clean up to go live with PLM tool for Lead Data Analyst GENERAL SUMMARY Under the specific direction of a senior analyst, supervisor or manager; In this role ...

Dexian DISYS

Lead Data Analyst

Redmond, WA · On-site +1

Overall running full process from data clean up to go live with PLM tool for Lead Data Analyst GENERAL SUMMARY Under the specific direction of a senior analyst, supervisor or manager; In this role ...

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Data Cleaner information

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How much do data cleaner jobs pay per hour?

As of Jun 22, 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:
What job categories do people searching Data Cleaner jobs look for? The top searched job categories for Data Cleaner jobs are:
Data Cleaner jobs near you
Infographic showing various Data Cleaner job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 13% Full Time, 69% Part Time, 2% Temporary, 14% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $49,935 per year, or $24 per hour.

Data Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Posted 21 days ago

Job description

About the Role:

As a Data Analyst at our Agriculture company, your main objective will be to analyze and interpret complex data sets to provide valuable insights and recommendations. You will be responsible for collecting, cleaning, and organizing large volumes of data from various sources. By utilizing your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau, you will create visually appealing and informative reports and dashboards. Your analysis will play a crucial role in identifying trends, patterns, and opportunities for improvement in our agricultural operations.

Minimum Qualifications:

  • Bachelor's degree in a relevant field such as Data Science, Statistics, or Mathematics.
  • Proven experience in data analysis and visualization.
  • Proficiency in data cleaning techniques and working with pivot tables.
  • Strong programming skills in R and familiarity with SAS.
  • Excellent problem-solving and critical thinking abilities.

Preferred Qualifications:

  • Master's degree in Data Science or a related field.
  • Experience in the agriculture industry or a similar field.
  • Knowledge of data extraction techniques and tools.
  • Familiarity with machine learning algorithms and predictive modeling.
  • Certifications in data analysis or related areas.

Responsibilities:

  • Collect, clean, and organize large volumes of data from multiple sources.
  • Analyze and interpret complex data sets to identify trends, patterns, and insights.
  • Create visually appealing and informative reports and dashboards using data visualization tools such as Power BI and Tableau.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.
  • Stay up-to-date with the latest industry trends and advancements in data analysis techniques.

Skills:

In this role, your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau will be essential. You will use data cleaning techniques to ensure the accuracy and integrity of the collected data. Pivot tables will help you summarize and analyze large datasets efficiently. R programming language and SAS will be used for statistical analysis and modeling. Data visualization tools like Power BI and Tableau will enable you to create visually appealing reports and dashboards to communicate insights effectively. Your skills will be crucial in providing data-driven recommendations and identifying opportunities for improvement in our agricultural operations.