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Data Cleansing Jobs in Rochester, NY (NOW HIRING)

Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations ...

MDM PIM Manager

Rochester, NY · On-site

$99K - $232K/yr

Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations ...

ERP AI Engineer - Manager

Rochester, NY · On-site

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle ...

Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations ...

You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle ...

Rebate Manager - Temporary Contract

Victor, NY · On-site

$85K - $114K/yr

Responsible for data cleansing and integrity of the data * Consolidate campaign, website data, create and update dashboards * Review and highlight successes and anomalies on a quarterly basis Cross ...

SAP BODS/Data Conversion Consultant

Rochester, NY · On-site

$65.75 - $85.75/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

Be Seen First

Advanced Excel and Data Analysis Excel expertise is non-negotiable for this position. You should be highly comfortable: * Manipulating and cleansing large datasets. * Using PivotTables, XLOOKUP ...

Data Cleansing information

See Rochester, NY salary details

$33.6K

$81.6K

$134.2K

How much do data cleansing jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data cleansing in Rochester, NY is $81,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 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.
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Infographic showing various Data Cleansing job openings in Rochester, NY as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $81,575 per year, or $39.2 per hour.
Data Analyst

Full-time

Posted 22 days ago


Job description

Job Summary:
  • As part of the IT Data Operations Team, the Data Analyst serves as a subject matter expert for understanding Health Care Data, and how to accurately process the data to create valuable business information.
  • This role also works closely with database developers and database administrators in the design, development and management of Cognisight data processing, and analytic solutions.

Job Responsibilities:
  • Data Exchange Management:
  • Work closely with external information trading partners by establishing data format standards and processes to accurately send and receive relevant Health Care data.
  • This includes managing extract, transform and load (ETL) processes.

Data Process Definition:
  • Lead efforts to standardize, improve, and implement enterprise data processes, for example data cleansing/validation initiatives, error-handling, applying naming convention and database development standards and code optimization utilizing data quality management standards.

Development:
  • Design queries and reports in available tool sets (i.e. Transact SQL, SSRS) to evaluate the various data sources and make derived knowledge available for internal and external customers.
  • These deliverables should conform to industry standards, be as automated as possible, and reusable if necessary.
  • The development of these systems will be done with input and feedback from all internal stakeholders.
  • Testing/QA: Apply best practices and industry standards, with respect to testing and quality assurance procedures to ensure a proactive approach to Cognisight's data and system integrity.
  • Production Issue Management: Responsible for identifying resolutions to issues that occur as data are loaded into the enterprise databases or as customers discover them.
  • The senior data analyst will investigate the issue, determine options to resolve, analyze the effect of each option globally and choose the most effective solution.
  • Customer Support: Manage customer data/information requests by monitoring online request queue and performing or assigning work tasks as needed.
  • Data Stewardship: Maintain accuracy and freshness of key reference data in all pertinent data systems. This includes provider data, clinical measures, and condition profiles.

Experience:
  • Bachelor's degree required (preferably in a related field).
  • Additional related college courses or professional training and certification are strongly desired
  • Minimum of 6 years in a professional/office environment
  • Minimum of 5 years of demonstrated expertise with large-scale database systems Healthcare data experience including claims or clinical data a plus
  • Additional experience with one ore more data profiling, data warehousing, reporting or business intelligence systems including reporting systems is strongly desired.
  • Report development experience in MS Reporting Services a plus.