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Data Cleansing Jobs (NOW HIRING)

The Data Migration Analyst will provide proper guidance to Implementation team members, set expectations in data cleansing, provide guidance on data transfer/conversion in the best possible way that ...

We are seeking an MDM Data Quality & Cleansing Specialist to support enterprise Master Data Management (MDM) initiatives through data remediation, cleansing, and quality improvement efforts. This ...

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Implement data cleansing and normalization techniques to ensure data quality * Manage data ingestion schedules and error handling mechanisms Required Skills and Experience * AWS Expertise Deep ...

Data Engineer Lead

Lisle, IL

$112K - $135K/yr

Perform data cleansing to ensure the accuracy and quality of data. Participate in governance for preventive measures due to duplication at source. • Create and maintain data mapping documents to ...

Utilize tools and techniques to automate and expedite the data cleansing process. * Collaborate with the data team to ensure data integrity and accuracy. * Document the data cleanup process and ...

Maintains the implemented Informatica Data Quality and Data Cleansing software and infrastructure Administers project team access to the Informatica Data Analysis, Data Quality and Data Cleansing ...

Tallahassee FL Duration: Long Term Maintains the implemented Informatica Data Quality and Data Cleansing software and infrastructure Administers project team access to the Informatica Data Analysis ...

Support master data cleansing, mapping, validation, and migration readiness activities * Validate master data designs and governance workflows * Coordinate with business units on critical data ...

Develop data mappings, data flows and data cleansing procedures. * Provide education and guidance to other data group members in effective data asset development. * In general, act as a lead in ...

Design and Development of data integration workflows, macros, data validation, data transformations, macros, data cleansing, using Alteryx Designer. * Alteryx Expert certification (must have or ...

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Data Cleansing information

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$34K

$82.6K

$136K

How much do data cleansing jobs pay per year?

As of Jun 20, 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 identifying and correcting or removing inaccurate, incomplete, or inconsistent data within datasets. This process improves data quality and reliability, often using tools like Excel, SQL, or specialized data cleaning software, and requires attention to detail and understanding of data standards.

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 analysis, attention to detail, and familiarity with tools like Excel or specialized data cleaning software. The goal is to improve data quality for better decision-making and analysis.
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:
Infographic showing various Data Cleansing job openings in the United States as of June 2026, with employment types broken down into 57% As Needed, 14% Full Time, and 29% Temporary. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Readiness Analyst II

Data Readiness Analyst II

Archer Daniels Midland

Erlanger, KY • Hybrid

Other

Posted 3 hours ago


Job description

Data Readiness Analyst II, Archer Daniels Midland Company, Erlanger, KY. Partner with Solution Delivery
and Data Readiness teams to ensure data design and implementation align with business requirements.
Oversee functional data migration activities to SAP S/4HANA, collaborating with Data Developers who
utilize SAP Business Objects Data Services (BODS) to design and execute extraction, transformation, and
loading (ETL) workflows. Review and validate BODS jobs developed by Data Developers for data cleansing,
enrichment, and validation. Create and maintain validation scripts to be used during mock conversion
cycles. Monitor the progress of data cleansing activities, using SAP Information Steward to track data
quality metrics, identify gaps, and ensure cleansing aligns with project timelines. Use SAP HANA for data
modeling, staging, and validation adhering to the Solution Delivery team's target system specifications.
Coordinate pre- and post-load data validation, leveraging validation scripts, securing approvals,
documenting results and defects for SAP S/4HANA go-live. Develop and document functional data
migration plan, validation scripts, and data construction plans. Actively engage Business data
validators/approvers, systems analysts, data readiness functional analysts, and related work streams.
Validate and monitor data quality, ensuring compliance with business requirements and data governance
standards.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.
MINIMUM REQUIREMENTS:
Bachelor's degree or foreign equivalent degree in Information Technology, Computer Science, Business
or a related field, and two (2) years of related work experience.
Must have two (2) years of experience with/in:
SAP ECC/S/4HANA for data modeling, staging, validation, and quality monitoring in migration and
data quality projects;
Data Migration processes, collaborating with Data Developers and the Solution Delivery team to
define ETL requirements for business-driven data migration;
Creating and maintaining validation scripts for data migration, particularly for mock conversion
cycles in SAP S/4HANA projects;
Collaborating with Data Cleansers and business stakeholders to ensure constructed data is
completed and approved for mock conversion cycles; and
SAP Information Steward or other Data Quality tools for defining data quality rules, monitoring
data quality, and overseeing data cleansing activities to support SAP S/4HANA implementations.
Must have one (1) year of experience with/in:
SAP.
Telecommuting is permitted one (1) day per week.
Up to 20% regional or domestic travel required.
To apply, mail resume to: Christina Hetzer, ADM; PO BOX 1470, Decatur, IL 62525 (reference: KY0121).