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Remote Data Cleaning Jobs (NOW HIRING)

Prepare data for further analysis, including data cleaning, transformation, anonymization, and ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do Data Analysis & Manipulation ... Write clean, well-structured, and documented code in Python, PySpark, and SQL * Use Git for version ...

Prepare data for further analysis, including data cleaning, transformation, anonymization, and ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

... data cleaning, outlier detecting, and refining business rules to validate and monitor the model ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Experience with data cleaning and preprocessing techniques. * Knowledge of engineering and consulting industry practices. Working Conditions: * Remote-based with potential for hybrid work ...

Educational Data Analyst

$110K - $120K/yr

Experience with Python for data cleaning, analysis, and automation. * Nice to Have: Experience ... We are a fully remote company. We provide a monthly tech stipend to support your WFH needs!

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone ... Hands-on experience with data cleaning, visualization, and reporting * At least 2 years of relevant ...

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... clean, and prepare claims and incident data for analytics, modeling, and scoring. • Develop ...

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... clean, and prepare claims and incident data for analytics, modeling, and scoring. • Develop ...

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Implement processes for data cleaning, transformation, and validation to ensure data accuracy ...

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Implement processes for data cleaning, transformation, and validation to ensure data accuracy ...

Senior Data Scientist Remote, United States Description ActioNet has an exciting opportunity for a ... Implement processes for data cleaning, transformation, and validation to ensure data accuracy ...

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Implement processes for data cleaning, transformation, and validation to ensure data accuracy ...

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Implement processes for data cleaning, transformation, and validation to ensure data accuracy ...

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Remote Data Cleaning information

What is the difference between Remote Data Cleaning vs Remote Data Entry?

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

What are the key skills and qualifications needed to thrive as a Remote Data Cleaning Specialist, and why are they important?

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.
More about Remote Data Cleaning jobs
What cities are hiring for Remote Data Cleaning jobs? Cities with the most Remote 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 Remote Data Cleaning jobs? States with the most job openings for Remote Data Cleaning jobs include:
Infographic showing various Remote Data Cleaning job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 81% Full Time, 13% Part Time, and 3% Contract. Highlights an 100% Remote job distribution.
Data Migration Analyst

Data Migration Analyst

Masai Technologies Corporation

Frederick, MD • Remote

$95K - $120K/yr

Full-time

Re-posted 25 days ago


Job description

MTC is based in Frederick, Maryland and provides systems integration services to the U.S. Federal Government by implementing both Cloud based ServiceNow platform as a service (PaaS) software and application plugin software, Nuvolo, for Integrated Workplace Management System (IWMS) functionality. The IWMS solution will meet the current and future needs of the Public Sector/federal agencies by providing critical administrative digitized workflow activities for Facilities Asset Management, Space Management, Capital Project Management, and other related workplace management business processes.  The Legacy Data Migration Analyst position detail is below. 
 
If You are interested and You qualify, please reply with all:   
1) updated Resume   2) W2 Salary Range  3) Availability day/times to interview  4) Best Contact phone#
 
Position: Data Migration Analyst Duties:
 
Duration:  2 – 7 years based upon renewal
 
Location:           Primarily a remote position with periodic quarterly onsite meetings in Frederick, MD and Bethesda, MD
 
Start:                    Immediate
 
 
Job Description: 
Perform Data analysis, data validation, and data migration and data integration analysis efforts with a focus on analyzing, verifying, and validating the requirements for moving data received from current Legacy NIH Systems data owner and performing Data Validation before data is loaded to the Service Now-Nuvolo application instance. Also, supporting the data analysis of data interface requirements for ongoing integration. 
 
Data will be provided by legacy system data owners and Data Analyst will support requirements elicitation, data mapping workshops, Agile Development Increments/Sprints and Demos, User Acceptance Testing, Training, and Production Deployments. Create / Update Data models and datasets based upon the ServiceNow-Nuvolo application design requirements.
 
Perform data management using manual and automated methods using Microsoft Excel for pre-import data tasks (data migrations, minor cleansing, and transformation) prior to loading into target ServiceNow-Nuvolo system. The Legacy System Data Owner is responsible for data cleaning including data formatting, normalization, duplicate removal, etc. 
 
Data Analyst provides data validation and minor corrections, and generates queries, reports, risk analysis, and other random tasks to support the project team. Must create Agile user stories describing requirements for data migration from legacy system