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Data Cleansing Jobs (NOW HIRING)

Data Readiness Analyst II

Erlanger, KY · On-site +1

$109.15K - $119.15K/yr

Monitor the progress of data cleansing activities, using SAP Information Steward to track dataquality metrics, identify gaps, and ensure cleansing aligns with project timelines. Use SAP HANA for ...

Sr Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Experience in Data Warehousing, data integration and data cleansing Development of rules and mappings for data quality and accuracy Strong experience in writing complex SQL 2 year's experience with ...

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 ...

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 ...

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 ...

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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 May 30, 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 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.

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 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 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 May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Manager / Business Data Lead

Trinity Technology Solutions

New York, NY • On-site

Contractor

Posted 2 days ago


Job description

Overview

The Data Manager / Business Data Lead will oversee all business-side data migration activities from the legacy Client's System to the new Oracle 19C On-Prem system. This role ensures data quality, integrity, and alignment with business rules and Fund requirements.

Key Responsibilities
  • Lead and coordinate all business data management activities related to data migration.

  • Collaborate with the System Integrator and data team to analyze, cleanse, and validate data.

  • Review, document, and approve data analysis, cleansing, and conversion deliverables.

  • Identify and resolve business data issues; oversee data profiling and quality assurance.

  • Define data governance procedures and ensure compliance with security/confidentiality standards.

  • Oversee documentation, audit materials, and training for staff.

  • Participate in design sessions to ensure data requirements meet business needs.

  • Monitor progress, report status, and manage risks for all data-related tasks.

  • Prepare and present deliverables such as Data Analysis Plan, Data Cleansing Reports, and Data Conversion Plan.

Required Skills & Experience
  • Minimum 5 years experience managing large-scale data migration or data management projects.

  • Deep understanding of pension or financial systems preferred.

  • Strong business analysis, data governance, and documentation skills.

  • Hands-on experience with Oracle databases, SQL, and data validation tools.

  • Strong project management and leadership abilities.

  • Excellent communication and stakeholder management skills.

Certification
  • PMP certification required.