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Data Cleaner Jobs (NOW HIRING)

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 Entry Specialist

$17.50 - $23.25/hr

Formatting inconsistencies Data Cleaning & Maintenance * Standardize datasets using: * Filters * Pivot tables * Formulas * Apply consistent: * Naming conventions * Categories * Data structures

Extract, clean, and organize data from multiple sources, including Google Sheets, Workiva, Looker, and Google Forms. * Partner with the Data Engineering team to consolidate data sources and automate ...

Senior Data Analyst

Cupertino, CA · On-site

$106.10K - $133.90K/yr

Must Have Technical/Functional Skills • 7+ years of experience in Data Analysis • Ability to interpret and validate ML models (No model building required) • Experience with Data Cleaning and ...

Data Analyst

Tallahassee, FL · On-site

$20 - $28/hr

Clean, transform, and organize large datasets to ensure data accuracy and integrity * Develop reports, dashboards, and visualizations to support business needs * Translate business requirements into ...

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

Data Collection Management Acquire data from primary or secondary sources and maintain databases Data Cleaning Clean and sanitize data by filtering reviewing reports and correcting code problems ...

Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization.

Important skills to the job are data validation to verify the accuracy of the data, cleaning, manipulation, restructuring of the data. They are not just creating data visualizations. They also use ...

Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization.

Data Cleaning. MATLAB. R. Python. SQL and NoSQL. Machine Learning. Linear Algebra and Calculus. Education Requirement: Bachelors, Masters in Computer Science/ Computer Engineering/ Information ...

Associate Data Engineer

San Antonio, TX

$104.10K - $125K/yr

Develop Silver layer patterns focused on data cleaning, standardization, deduplication, validation, and business-rule application. * Develop Gold layer datasets that are curated, analytics-ready, and ...

Data Analyst

Lewisville, TX · On-site

$100K - $120K/yr

... for data cleaning, transformation, automation, and advanced analytics - Strong hands on experience with SQL (joins, CTEs, subqueries, performance optimization) - Strong hands on experience with ...

Associate Data Engineer

Parsippany, NJ

$115.10K - $138.30K/yr

Develop Silver layer patterns focused on data cleaning, standardization, deduplication, validation, and business-rule application. * Develop Gold layer datasets that are curated, analytics-ready, and ...

Associate Data Engineer

Passaic, NJ · On-site

$118.60K - $142.40K/yr

Develop Silver layer patterns focused on data cleaning, standardization, deduplication, validation, and business-rule application. * Develop Gold layer datasets that are curated, analytics-ready, and ...

Data Engineer

San Antonio, TX

$104.10K - $125K/yr

Develop Silver layer patterns focused on data cleaning, standardization, deduplication, validation, and business-rule application. * Develop Gold layer datasets that are curated, analytics-ready, and ...

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Data Cleaner information

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How much do data cleaner jobs pay per hour?

As of Jun 1, 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 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 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 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 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
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What states have the most Data Cleaner jobs? States with the most job openings for Data Cleaner jobs include:

DATA ANALYST

AaraTechnologies Inc

Virginia Beach, VA • Remote

Other

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Job description

Data Analyst Healthcare (1 2 Years Experience)

Company: AaraTech Inc

<>About the Role

AaraTech Inc is seeking a detail-oriented Data Analyst Healthcare (1 2 years experience) to support healthcare reporting, analytics, and data quality initiatives. This role is ideal for early-career professionals who enjoy working with healthcare data, building reports, and delivering insights that support business and operational decision-making.

<>Key Responsibilities
  • 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 reconciliation
  • Write SQL queries to extract and analyze healthcare data
  • Support KPI tracking, trend analysis, and recurring performance reports
  • Collaborate with business stakeholders to understand reporting needs
  • Document report logic, metrics, and data definitions
  • Assist with ad-hoc analysis and business reviews
<>Required Qualifications
  • 1 2 years of experience in Data Analysis, Reporting, or a related role
  • Bachelor s degree in Data Analytics, Business, Healthcare Administration, or a related field (or equivalent experience)
  • Working knowledge of SQL
  • Experience with BI tools such as Tableau, Power BI, or Looker
  • Strong Excel skills (pivot tables, formulas, charts)
  • Understanding of data cleaning, validation, and basic analytics
  • Strong attention to detail and communication skills
<>Why Join AaraTech Inc?
  • Hands-on healthcare analytics experience
  • Career growth opportunities
  • Mentorship and training programs
  • Flexible and remote-friendly work environment