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Data Cleansing Jobs (NOW HIRING)

Data Conversion Analyst

Chicago, IL · On-site +1

$111K - $185K/yr

Implement data cleansing processes to prepare data for migration, ensuring accuracy and consistency. * Execute data migration processes, monitoring for errors or discrepancies and addressing issues ...

Data Conversion Analyst

Chicago, IL · On-site

$111K - $185K/yr

Implement data cleansing processes to prepare data for migration, ensuring accuracy and consistency. * Execute data migration processes, monitoring for errors or discrepancies and addressing issues ...

During migration execution, the Data Analyst will assist with data cleansing, validation, testing, and issue resolution activities to ensure migrated data is accurate, complete, and fit for ...

This role is focused on understanding, analyzing, cleansing, mapping, validating, and reconciling data as it moves from legacy systems into modern platforms. The ideal candidate has hands-on ...

Identify areas requiring data profiling and cleansing. * Identify data requirements related to reporting and analytics to be designed. * Identify and engage key stakeholders from various functional ...

AWS Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

Perform data cleansing, data validation etc 3. Hands on ETL developer who is good at python, SQL. AWS services like glue, glue crawlers, lambda, red shift, athena, s3, EC2, IAM, Monitoring and ...

... cleansing, ETL toolsets (SSIS, Matillion etc) 2. Familiarity/experience with Data Governance principles. 3. Experience in efficient data model design. 4. Expert in SQL database management, SSIS ...

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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 Conversion Analyst

Data Conversion Analyst

NTT DATA Services

Chicago, IL • On-site, Remote

$111K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

107th of 204 rated it services


Job description

Req ID: 376153 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Conversion Analyst to join our team in Chicago, Illinois (US-IL), United States (US).

NTT DATA is seeking a Data Conversion Analyst to join the Project Management Office (PMO) team for the State of Illinois strategic planning and modernization of the Medicaid Enterprise System (MES). The Data Conversion Analyst will play a crucial role in ensuring the successful migration of data from legacy systems to the new MES and facilitating accurate and efficient data transformation processes. This position involves collaborating with various stakeholders, including project teams and subject matter experts, to ensure data integrity, quality, and compliance throughout the conversion process.

Job Responsibilities Include:

  • Conduct comprehensive assessments of legacy data structures to identify data elements for migration.
  • Develop and document data mapping specifications to ensure accurate data transformation.
  • Implement data cleansing processes to prepare data for migration, ensuring accuracy and consistency.
  • Execute data migration processes, monitoring for errors or discrepancies and addressing issues as needed.
  • Perform validation checks on migrated data to ensure compliance with quality standards.
  • Collaborate with project teams and stakeholders to gather requirements and communicate data migration progress.
  • Prepare reports summarizing data conversion outcomes, including any challenges encountered and resolutions implemented.
  • Support continuous improvement initiatives by identifying opportunities to enhance data conversion processes.
  • Effectively communicate with the client and other project stakeholders.
  • Demonstrate an understanding of business and technical requirements gathering and support functional workflow, business process, and information flow discussions.

Basic Qualifications:

  • Bachelor’s degree or higher from an accredited college or university in a related field such as Computer Science, Information Technology, Data Science, or a related discipline.
  • Minimum of 6 years’ experience in data analysis, data management, or data conversion, preferably within a healthcare or public sector environment.
  • Minimum of 3 years' experience and proficiency in data mapping, data cleansing, and data transformation techniques.
  • Minimum of 3 years' experience and proficiency in data analysis tools.
  • Strong analytical skills with the ability to assess data quality and identify discrepancies.
  • Familiarity with data migration tools and software, along with experience in utilizing databases and data management systems.
  • Excellent verbal and written communication skills, with the ability to effectively engage with diverse stakeholders.

Preferred Skills:

  • Experience with Medicaid Management Information Systems (MMIS) and understanding of Medicaid policies and regulations.
  • Certification in data management, data analysis, or related fields.
  • Knowledge of data governance principles and best practices.
  • Ability to work independently and collaboratively within a team, demonstrating professionalism in all interactions.
  • Must be a team player and a consistent, dependable performer with an excellent work ethic, flexible "can-do" attitude, and a results-driven commitment to success
  • Ability to handle ambiguity and change

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $111,540 - $185,900. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. 
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967