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Data Cleaning Jobs (NOW HIRING)

Pavago

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

Sarian, Inc.

Data Scientist

Addison, TX · On-site

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

Megan soft Inc

Data Scientist(W2 Position)

Dearborn, MI · On-site

Experience using SQL for acquiring and transforming real-world data, data cleaning, data collection or other data wrangling challenges Thanks & Regards Praveen Megan Soft, Inc. Direct No: +1(248) 266 ...

Lendistry

Sr. Data Scientist

Dallas, TX

Clean, transform, and prepare large, complex datasets for modeling and analysis. * Work with diverse data sources including business credit bureau data, bank transaction data, financial statements ...

Lendistry

Sr. Data Scientist

Dallas, TX · On-site

Clean, transform, and prepare large, complex datasets for modeling and analysis. * Work with diverse data sources including business credit bureau data, bank transaction data, financial statements ...

BAE Systems

Data Scientist Sr

Reston, VA · On-site

$97K - $164K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform routine data quality checks * Perform data preprocessing, data integration, quality checks ...

BAE Systems

Data Scientist Sr

Reston, VA · On-site

$97K - $164K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform routine data quality checks * Perform data preprocessing, data integration, quality checks ...

Right Skale, Inc.

Data Analyst

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 ...

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Data Cleaning information

What is a Data Cleaning job?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in the Data Cleaning position, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

More about Data Cleaning jobs
What cities are hiring for Data Cleaning jobs? Cities with the most Data Cleaning job openings:
What are the most commonly searched types of Data Cleaning jobs? The most popular types of Data Cleaning jobs are:
What states have the most Data Cleaning jobs? States with the most job openings for Data Cleaning jobs include:
What job categories do people searching Data Cleaning jobs look for? The top searched job categories for Data Cleaning jobs are:
Data Cleaning jobs near you
Infographic showing various Data Cleaning job openings in the United States as of July 2026, with employment types broken down into 61% Full Time, 38% Part Time, and 1% Temporary. Highlights an 100% Physical job distribution.

Data Entry Specialist

Pavago

Remote

$17.50 - $23.25/hr

Full-time

Posted 17 days ago

Job description

Data Entry Specialist (Excel / CRM / High Accuracy) - Remote
Position Type: Full-Time, Remote
Working Hours: U.S. Business Hours
About the Role
We're hiring a Data Entry Specialist to ensure critical business data is accurate, complete, and always up to date across systems.
This is not just basic data entry.
This role is responsible for data accuracy, consistency, and reliability - directly impacting decisions across finance, sales, operations, and leadership.
If you're detail-obsessed and catch mistakes others miss, this role fits you well.
What You'll Do
Data Entry & Accuracy (Core Focus)
  • Enter and update records in:
    • Salesforce
    • HubSpot
    • Airtable
    • Excel / Google Sheets
  • Cross-check entries against:
    • Invoices
    • Contracts
    • Customer and HR records
  • Identify and fix:
    • Duplicate records
    • Missing data
    • Formatting inconsistencies

Data Cleaning & Maintenance
  • Standardize datasets using:
    • Filters
    • Pivot tables
    • Formulas
  • Apply consistent:
    • Naming conventions
    • Categories
    • Data structures
  • Perform weekly audits to maintain data quality

File & Record Management
  • Organize and maintain files in:
    • Google Drive
    • Dropbox
    • Microsoft SharePoint
  • Ensure all files are:
    • Structured
    • Searchable
    • Version-controlled
    • Audit-ready

Reporting & Cross-Team Support
  • Generate daily/weekly reports:
    • Transaction logs
    • Status updates
    • Data audit summaries
  • Support:
    • Finance (AR/AP entries)
    • Sales (lead/contact updates)
    • HR (employee records)

Compliance & Data Security
  • Maintain strict confidentiality of sensitive data
  • Ensure compliance with:
    • GDPR
    • HIPAA
    • CCPA

Process Improvement
  • Identify recurring data issues
  • Recommend:
    • Automation opportunities
    • Better templates
    • Improved workflows
  • Help reduce manual errors over time

What Makes You a Strong Fit
  • You notice errors instantly
  • You are highly consistent and disciplined
  • You are comfortable with repetitive, high-volume work
  • You take ownership of data accuracy

Required Experience & Skills
  • 1-2 years of data entry, clerical, or admin experience
  • Strong proficiency in:
    • Excel / Google Sheets (filters, pivots, formulas)
  • Experience with CRMs like:
    • Salesforce or HubSpot
  • High typing speed with strong accuracy
  • Strong attention to detail

Nice to Have (Top Candidates)
  • Experience in high-volume environments (finance, e-commerce, healthcare)
  • Basic SQL or scripting knowledge
  • Familiarity with data cleaning tools
  • Exposure to compliance-heavy workflows

What a Typical Day Looks Like
  • Enter and update data across CRM and spreadsheets
  • Audit records for accuracy and completeness
  • Clean datasets (duplicates, missing fields, formatting)
  • Cross-check data with source documents
  • Generate reports for internal teams
  • Organize and maintain digital records

In short:
You ensure the business can trust its data 100% of the time.
Key Metrics (KPIs)
  • Typing accuracy ≥ 98%
  • Error rate < 1%
  • Same-day or next-day data updates
  • Reports delivered on time
  • Clean, structured, audit-ready datasets

Why This Role Stands Out
  • Clear, structured work environment
  • High ownership over data quality
  • Direct impact on business decisions
  • Opportunity to grow into:
    • Data Analyst
    • Operations Analyst
    • Reporting Specialist

Apply Now
If you:
  • Care about precision
  • Work fast without sacrificing accuracy
  • Take pride in clean, organized data

This role is a strong fit.

Apply