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Data Cleaning Jobs (NOW HIRING)

Strong understanding of data science, analytics, and data cleaning processes. * Ability to coach stakeholders in developing models and preparing data. * Knowledge or experience with NLP, LLMs, and ...

Senior Data Analyst

Cupertino, CA · On-site

$106K - $133K/yr

Experience with Data Cleaning and Validation * Advanced proficiency in Excel * Good to have experience working with large Data sets * Good to have- Familiarity with data visualization tools Tableau ...

Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field ...

Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field ...

Growth Data Analyst

Manhattan, NY · On-site

$90 - $170/hr

Use Python to clean, transform, and analyze datasets that inform growth strategy and channel performance. * Translate data findings into clear takeaways that help the marketing team make faster ...

Showing results 21-40

Data Cleaning information

What is a data cleaning?

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 data cleaning, 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.

What skills are needed for data cleaning?

Data cleaning requires skills in data analysis, attention to detail, and proficiency with tools like Excel, SQL, or data cleaning software. Knowledge of data formats, basic programming (e.g., Python or R), and understanding of data quality principles are also important for effective data cleaning tasks.
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:

Infographic showing various Data Cleaning job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 74% In-person, 6% Hybrid, and 20% Remote job distribution.

Data Processing System - Nashville, TN

STI

Nashville, TN • On-site

Full-time

Re-posted 28 days ago


Job description

The Data Processing Specialist supports the Viral Hepatitis Program by accurately processing and maintaining hepatitis surveillance data in the National Electronic Disease Surveillance System (NEDSS) Based System (NBS). The role applies CDC/CSTE case definitions, identifies reportable case types, performs data cleaning and quality assurance, and collaborates with program and surveillance staff to support data integrity and public health reporting.
Primary job duties will include, but are not limited to:
• Process and enter hepatitis B virus (HBV) and hepatitis C virus (HCV) laboratory and case data in NBS (surveillance system)
• Review and manage assigned surveillance and document review queues
• Apply CDC/CSTE case definitions to determine case status
• Identify acute, reinfection, perinatal, infant, and fetal death cases
• Perform routine data cleaning and quality assurance
• Process paper, electronic, and orphaned laboratory reports
• Resolve data discrepancies and incomplete records
• Coordinate medical record requests as assigned
• Communicate data issues and notable findings to the team leader
• Participate in required meetings, training, and team activities
Contractor Minimum Qualifications:
Education and Experience: High school diploma or equivalent required; data entry or data systems experience and medical or public health knowledge preferred.