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Data Cleansing Jobs (NOW HIRING)

Samprasoft

Data Entry Clerk Lv3

Wichita, KS · On-site

$16.75 - $22.50/hr

Job Title Primary activity is data cleansing and data creation in Excel templates. Must have strong attention to detail and comfortable working with moderate to large volumes of data. Validation of ...

Prometheus Group

Master Data SME

Raleigh, NC · On-site

Data Cleansing: Develop and implement effective data cleansing strategies and procedures to improve data accuracy and integrity. * Process Optimization: Collaborate with customers to optimize their ...

LUMA

Data Analyst

Boise, ID · On-site

$36.16 - $38.42/hr

Data cleansing and governance * Typically gained by completing two to four upper division coursework or trainings in data cleansing and governance, AND two to four years of mid-level experience ...

TEKsystems

Data Governance Analyst

Fort Mill, SC

This is a non-traditional data analyst role focused heavily on data reconciliation, data cleansing, data quality, and inventory cleanup. The analyst will work across roughly 9-10 inconsistent and ...

TEKsystems

Data Governance Analyst

Fort Mill, SC

$20 - $30/hr

This is a non-traditional data analyst role focused heavily on data reconciliation, data cleansing, data quality, and inventory cleanup. The analyst will work across roughly 9-10 inconsistent and ...

Arka Infotech Inc

MDM Data Analyst

Manhasset, NY

This person will be responsible for managing data cleansing, de-duplication, and harmonization of data. Must have strong skills writing advanced SQL, functions, and procedures and will have expertise ...

MSR Cosmos

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Implement data cleansing and normalization techniques to ensure data quality. * Manage data ingestion schedules and error handling mechanisms. * Data Governance and Access Control: * Establish data ...

GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

... Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis Day to day work involves proficiency in using advanced computerized models to ...

MSRCosmos

AWS Data Architect

Torrance, CA · On-site

$65.50 - $84.25/hr

Implement data cleansing and normalization techniques to ensure data quality. * Manage data ingestion schedules and error handling mechanisms. * Data Governance and Access Control: * Establish data ...

Navtech, Inc.

SAP Data Migration Lead

Good experience in working with the client in Data Quality, Profiling and Cleansing, Data harmonization * Good experience in developing reate data migration strategy and approach for S/4 HANA ...

Aston Carter

Salesforce Business Data Analyst

Sunrise, FL · On-site

$36.05 - $40.86/hr

Monitor data accuracy through regular audits and data cleansing.Develop and maintain best practices for data management policies and procedures.Train and support users on Salesforce data management ...

eTeam

PLM Data Migration Architect

San Jose, CA · On-site

$74.75 - $96/hr

Data Mapping, Data Cleansing, Validation, Dry Runs, Cutover Planning, Rollback Strategy. • Work closely with solution architects, business stakeholders, and delivery teams to ensure a successful ...

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Data Cleansing information

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How much do data cleansing jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data cleansing in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive in Data Cleansing, you need strong analytical skills, attention to detail, and familiarity with data management concepts—ideally supported by a degree in information technology, computer science, or a related field. Proficiency with tools such as Microsoft Excel, SQL, data profiling tools, and, in some cases, data integration platforms or data quality software is highly valuable. Excellent problem-solving abilities, strong communication, and the ability to work both independently and collaboratively are crucial soft skills. These competencies are essential for ensuring the accuracy, consistency, and usability of organizational data, which directly impacts decision-making and operational efficiency.

What is a Data Cleansing job?

A Data Cleansing job involves identifying and correcting inaccuracies, inconsistencies, and errors in datasets to ensure data quality and reliability. Professionals in this role clean data by removing duplicates, standardizing formats, handling missing values, and validating information. This process improves the accuracy of business insights, enhances decision-making, and optimizes data-driven operations. Data cleansing is commonly required in industries such as marketing, finance, healthcare, and e-commerce, where accurate data is essential for efficiency and compliance.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can be complex depending on data size and quality. It requires attention to detail, familiarity with tools like Excel or specialized software, and sometimes knowledge of programming languages such as Python or SQL. The difficulty varies based on the data's complexity and the specific requirements of the project.

What skills are needed for data cleansing?

Data cleansing requires strong attention to detail, proficiency in spreadsheet tools like Excel, and knowledge of data management software such as SQL or data cleaning tools. Analytical skills and the ability to identify and correct errors are essential for ensuring data accuracy and consistency.

What are some common challenges faced in a Data Cleansing role?

Data Cleansing professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, identifying duplicate entries, and ensuring accuracy while meeting tight deadlines. They may also need to work with data from multiple sources and formats, requiring adaptability and strong technical know-how. Collaboration with data analysts, IT teams, and business stakeholders is common to ensure the cleaned data meets organizational needs. Overcoming these challenges helps maintain data integrity and directly supports effective business operations.

What does a data cleanser do?

A data cleanser is responsible for reviewing and correcting data to ensure accuracy, consistency, and completeness. This process involves identifying and fixing errors, removing duplicates, and standardizing formats, often using tools like Excel or specialized data cleaning software. Data cleansing helps improve data quality for analysis and decision-making.

What is a data cleansing job?

A data cleansing job involves reviewing and correcting data to ensure accuracy, consistency, and completeness. It often requires skills in data management tools and attention to detail to identify and fix errors, duplicates, or inconsistencies in datasets.
More about Data Cleansing jobs
What cities are hiring for Data Cleansing jobs? Cities with the most Data Cleansing job openings:
What are the most commonly searched types of Data Cleansing jobs? The most popular types of Data Cleansing jobs are:
What states have the most Data Cleansing jobs? States with the most job openings for Data Cleansing jobs include:
What job categories do people searching Data Cleansing jobs look for? The top searched job categories for Data Cleansing jobs are:
Data Cleansing jobs near you
Infographic showing various Data Cleansing job openings in the United States as of July 2026, with employment types broken down into 6% Locum Tenens, 1% As Needed, 80% Full Time, 6% Part Time, 4% Contract, and 3% Summer. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
SAP Master Data Analyst

SAP Master Data Analyst

Recruit Professional Services

Park Ridge, NJ • On-site

Other

Re-posted 12 days ago

Job description

Overview:
The SAP Master Data Analyst is responsible for the accurate and efficient maintenance of material and customer master data within SAP, supporting operational and strategic goals in the Americas. This role focuses on verifying, entering, and managing Customer Master, Material Master, and Pricing data, ensuring data integrity, accuracy, and usability across the organization. The role requires strong attention to detail, problem-solving skills, and the ability to manage multiple priorities simultaneously.
Responsibilities:
  • Maintain and update Customer Master, Material Master, and Pricing records within SAP.
  • Verify accuracy and integrity of master data and perform corrections as needed.
  • Perform data cleansing and validation to maintain accuracy.
  • Support new product registration and apply proper data coding conventions.
  • Communicate updates on pricing, promotions, and programs to internal partners.
  • Provide reporting support, including dealer listings, mailing lists, and other operational reports.
  • Troubleshoot data-related issues and implement corrective actions.
  • Maintain SAP tables and functions, including sales rep codes, pricing groups, product hierarchies, product authorizations, and B2B portal access.
  • Support for the "Where To Buy" locator website by maintaining accurate authorizations.
  • Contribute to SOP documentation and master data training.
  • Recommend and support process improvements to enhance data quality and workflow efficiency.
  • Maintain compliance with JSOX controls and policies through the review of data-related documents.
Qualifications:
  • Bachelor's degree or equivalent work experience preferred.
  • 2-5 years related experience preferred
  • Knowledge of SAP is preferred.
  • Understanding of data management, data quality, and governance best practices.
  • Experience with data entry, data cleansing, and maintaining master records.
  • Excellent analytical and problem-solving skills.
  • Exceptional attention to detail and commitment to data accuracy.
  • Strong organizational and time-management skills.
  • Ability to manage multiple priorities and tasks in a fast-paced environment.
  • Effective verbal and written communication skills for cross-functional collaboration.
  • Ability to train and support team members on master data processes.
  • Proactive approach to identifying and implementing process improvements.

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