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Data Cleaner Jobs (NOW HIRING)

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

... 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight 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 ...

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

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Data Cleaner information

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How much do data cleaner jobs pay per hour?

As of Aug 4, 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 is a data cleaner?

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:
Infographic showing various Data Cleaner job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $49,935 per year, or $24 per hour.

Data Analyst

System One

Pensacola, FL • Remote

Contractor

Posted 29 days ago


Job description

Job Title: Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid – onsite and remote

Responsibilities • Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research • Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis • Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes • Document data collection, cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects • Partner with senior staff to communicate findings and insight to stakeholders • Collaborate with team members and participate in team projects and initiatives • Provide data research and write data queries for smaller analytics projects

Requirements • 2-5 years of experience in data analysis and reporting • Basic understanding of business and operating environment • Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools • Effective skill with analytical techniques required for data usage and data cleaning • Skill interpreting, extrapolating and interpolating data for statistical research and modeling • Knowledge of various data structures and ability to extract data sources using various visualization tools (e.g., PowerBI, Excel) • Knowledge of data governance principles and practices • Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

#M- #LI- Ref: #851-Rockville-S1