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Data Cleansing Jobs in Ohio (NOW HIRING)

SAP Supply Chain Master Data Senior Analyst

Delaware, OH · Hybrid

$74K - $92K/yr

Execute material processes for data maintenance in SAP, including product data cleansing. * Perform complex data entry in SAP and other systems with a high level of speed and accuracy. * Gathers data ...

Data Engineer

Dayton, OH

$120K - $135K/yr

Utilize Python and Regular Expressions for advanced text parsing, pattern matching, and data cleansing to prepare structured datasets for downstream [CM1] ingestion * Use APIs for seamless data ...

Perform data cleansing and troubleshoot system or master data issues. * Collaborate with teams across the company to resolve process and system challenges. What We're Looking For * Associate or ...

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

Supports Business Process and functional team data cleansing activities by querying and summarizing data, tracking progress and monitoring ongoing data cleanliness. * Assists in deployment of a data ...

Assess the quality and consistency of data stored in a source database and develop recommendations for data cleansing based upon data warehouse business rules. Prepare a Data Quality and Schema ...

... for data cleansing based upon data warehouse business rules. • Prepare a Data Quality and Schema Analysis Report which documents findings regarding the database analysis work performed. ER ...

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Showing results 1-20

Data Cleansing information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do data cleansing jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data cleansing in Ohio is $78,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data cleansing, 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 data cleansing?

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.

What are some common challenges faced in data cleansing?

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 are the most commonly searched types of Data Cleansing jobs in Ohio? The most popular types of Data Cleansing jobs in Ohio are:
What cities in Ohio are hiring for Data Cleansing jobs? Cities in Ohio with the most Data Cleansing job openings:
Infographic showing various Data Cleansing job openings in Ohio as of July 2026, with employment types broken down into 6% Locum Tenens, 78% Full Time, 9% Part Time, 1% Temporary, 4% Contract, and 2% Summer. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

$100K - $155K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 19 days ago


Job description

Do you enjoy solving difficult problems?  Are you resourceful?  Do you enjoy working with data?  If so, AmTrust is looking to add a talented experienced Data Scientist to their growing Data Science & AI Team with specific commercial insurance experience.  AmTrust Financial Services Inc. is a multinational property and casualty insurer specializing in coverage for small to mid-sized businesses.  We love finding new and innovative ways to use our data and technology to provide a top-notch customer experience and we want your help!


  • Managing master data, including creation, updates, and deletion.
  • Leading the development of reports, dashboards and scorecards
  • Leading the design of the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Leading initiatives for data integrity and normalization.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Training end-users on new reports and dashboards.
  • Providing technical expertise in data storage structures, data mining, and data cleansing. Keeps current with market trends and demands.
  • Performs other functionally related duties as assigned.

  • Managing master data, including creation, updates, and deletion.
  • Leading the development of reports, dashboards and scorecards
  • Leading the design of the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Leading initiatives for data integrity and normalization.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Training end-users on new reports and dashboards.
  • Providing technical expertise in data storage structures, data mining, and data cleansing. Keeps current with market trends and demands.
  • Performs other functionally related duties as assigned.

This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties, or responsibilities that will be required in this position.

The expected salary range for this role is $100K-$155K/year. 

Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations.


AmTrust Financial Services offers a competitive compensation package and excellent career advancement opportunities. Our benefits include: Medical & Dental Plans, Life Insurance, including eligible spouses & children, Health Care Flexible Spending, Dependent Care, 401k Savings Plans, Paid Time Off.

AmTrust strives to create a diverse and inclusive culture where thoughts and ideas of all employees are appreciated and respected. This concept encompasses but is not limited to human differences with regard to race, ethnicity, gender, sexual orientation, culture, religion or disabilities.

AmTrust values excellence and recognizes that by embracing the diverse backgrounds, skills, and perspectives of its workforce, it will sustain a competitive advantage and remain an employer of choice. Diversity is a business imperative, enabling us to attract, retain and develop the best talent available. We see diversity as more than just policies and practices. It is an integral part of who we are as a company, how we operate and how we see our future.