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Data Cleaning Jobs in Raleigh, NC (NOW HIRING)

Senior Data Analyst

Cary, NC ยท On-site

$80K - $101K/yr

Clean, transform, and analyze data with the objective of creating key business insights for our clients and synthesize current business intelligence or trend data to support recommendations for ...

Data Science Tutor

Raleigh, NC ยท Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Data Science Tutor

Chapel Hill, NC ยท Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Data Science Tutor

Durham, NC ยท Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Clinical Data Strategist

Durham, NC ยท On-site

$86K - $216K/yr

... cleaning, etc). Complete and manage the 'Systems Integration Plan' to detail the data flow and highlight potential risks/challenges while collaborating with various groups (i.e. IPA, Study Team, CDAT ...

Data Analysis Tutor

Chapel Hill, NC ยท Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Data Analysis Tutor

Durham, NC ยท Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Data Analysis Tutor

Raleigh, NC ยท Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Proven ability to clean, validate, and preprocess complex structured and unstructured datasets. * Data Visualization: Experience building intuitive dashboards, reports, and KPI tracking systems using ...

Prepare supply plans by reviewing planning data, netting policies, BoMs, capacity alignment, and data accuracy (including data cleaning and validation) * Support the SIOP process by preparing inputs ...

Sr. Data Engineer

Raleigh, NC ยท Remote

$108K - $147K/yr

... data clean rooms, marketplace, and Snowpark. * Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development, and automation scripting. * Demonstrated CI/CD ...

Sr. Data Engineer

Raleigh, NC ยท Remote

$103K - $140K/yr

... data clean rooms, marketplace, and Snowpark. * Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development, and automation scripting. * Demonstrated CI/CD ...

Data Analyst

Raleigh, NC ยท On-site

$30 - $35/hr

Ingest, clean, validate, and maintain data from various submission sources to ensure accuracy and completeness. * Maintain and version metric dictionaries and annual reporting metric definitions.

Clinical Research Coordinator

Durham, NC ยท On-site

$23.50 - $31.25/hr

Support data management activities, including data cleaning, validation, quality assurance, database testing, and reporting. * Create study progress reports, visualizations, summaries, and ...

Clinical Research Coordinator

Durham, NC ยท On-site

$23.50 - $31.25/hr

Support data management activities, including data cleaning, validation, quality assurance, database testing, and reporting. * Create study progress reports, visualizations, summaries, and ...

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Data Cleaning information

See Raleigh, NC salary details

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How much do data cleaning jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for data cleaning in Raleigh, NC is $40.11, according to ZipRecruiter salary data. Most workers in this role earn between $16.26 and $64.13 per hour, depending on experience, location, and employer.

What is a data cleaning?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in data cleaning, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

Can Chatgpt do data cleaning?

Data cleaning is a task performed by data analysts and data scientists, often using tools like Excel, Python, or specialized software. ChatGPT can assist by providing guidance, code snippets, or suggestions for cleaning data, but it cannot directly perform data cleaning tasks itself. Human oversight and technical skills are required to execute data cleaning processes effectively.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What are the most commonly searched types of Data Cleaning jobs in Raleigh, NC? The most popular types of Data Cleaning jobs in Raleigh, NC are:
What are popular job titles related to Data Cleaning jobs in Raleigh, NC? For Data Cleaning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Cleaning jobs in Raleigh, NC look for? The top searched job categories for Data Cleaning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Cleaning jobs? Cities near Raleigh, NC with the most Data Cleaning job openings:
Infographic showing various Data Cleaning job openings in Raleigh, NC as of July 2026, with employment types broken down into 69% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $83,421 per year, or $40.1 per hour.

$80K - $101K/yr

Full-time

Re-posted 4 days ago


Job description

General Information
Organization: KMR Group INC
Job Type: Full Time - Regular
Description and Requirements
EMPLOYER: WCG Clinical, Inc.
TITLE: Senior Data Analyst
DUTIES: Produce business and market intelligence by querying data repositories and generating periodic reports and devise methods for identifying data patterns and trends in available information sources such as clinical trial data and datasets that include detailed Target and Molecule level information for our pharmaceutical R&D clients. Clean, transform, and analyze data with the objective of creating key business insights for our clients and synthesize current business intelligence or trend data to support recommendations for action. Execute work in the management of internal data and databases, data cleaning, data uploads and data and systems validation as required. Develop analysis and reporting capabilities and also monitor performance and quality control plans to identify improvements in current processes. Manage raw data, query, and create databases, and construct data frameworks for analyzing data. Analyze data using standard methods including statistical methods, interpret results, and present clear summaries. Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs. Able to work 100% remotely. Must reside within continental U.S.
LOCATION: 5000 Centregreen Way, Suite 200, Cary, NC 27513
REQUIREMENTS:
Must have a Bachelor's degree (or foreign equivalent) in Analytics, Economics, or a related field, plus 3 years of experience working with data analysis and utilizing MS Excel to run pivot tables, array formulas and VBA. Must also have 6 months of experience in Working with bio-pharma clinical or portfolio data. Able to work 100% remotely. Must reside within continental U.S.
#LI-DNI
WCG is proud to be an equal opportunity employer - Qualified applicants will receive consideration for employment based on merit and without regard to race, color, national origin or ancestry, religion or creed, sex, sexual orientation, gender expression, gender identity, age, marital status, family or parental status, disability, genetic information, citizenship, veteran status, or any other legally recognized basis or status protected by federal, state, or local law. WCG complies with the Vietnam Era Veterans' Readjustment Act and Section 503 of the Rehabilitation Act. We promote a "One WCG" culture where all are welcome, respected, valued, and empowered to make a difference every day to advance clinical research.