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Data Cleaning Jobs in Raleigh, NC (NOW HIRING)

Support program evaluation through data cleaning, validation and integration * Prepare, validate and document data for HUD, ESG, HOME and other grant reporting * Monitor data quality and promote ...

Support program evaluation through data cleaning, validation and integration * Prepare, validate and document data for HUD, ESG, HOME and other grant reporting * Monitor data quality and promote ...

Senior Data Analyst

Cary, NC · 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 · 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 · 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 · 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 · 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 ...

Clinical Data Strategist

Durham, NC · 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 ...

Clinical Data Strategist

Durham, NC · 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

Durham, NC · 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 ...

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 · 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 ...

DJM Cleaning Home Services is hiring part-time commercial cleaners for evening shifts across the ... Msg & data rates may apply. Powered by Homebase. Free employee scheduling, time clock and hiring ...

... cleaning experience • Experience cleaning schools, daycares, or similar facilities • ... Msg & data rates may apply. Powered by Homebase. Free employee scheduling, time clock and hiring ...

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 ...

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Data Cleaning information

See Raleigh, NC salary details

$8

$40

$88

How much do data cleaning jobs pay per hour?

As of Jul 13, 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 job?

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 the Data Cleaning position, 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.

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 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 43% Full Time, and 57% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $83,421 per year, or $40.1 per hour.
Data Analyst - Housing

Data Analyst - Housing

Wake County Government

Raleigh, NC • On-site

Other

Re-posted 4 days ago


Wake County rating

8.5

Company rating: 8.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

154th of 691 rated public administrative organizations


Job description

The Housing Data Analyst works within the Research, Data, and Systems (RDS) division within Wake County's Department of Housing Affordability and Community Revitalization (HACR). This role contributes to the Department's mission by analyzing, validating and reporting on housing and homelessness data used to inform programs, services and policy decisions across the housing continuum.

HACR is hiring two Housing Data Analysts, each with a distinct programmatic focus:

  • Housing Development & Land Use
  • Homelessness Response & System Performance

While both positions share core analytical responsibilities and standards, each will partner closely with different program teams and subject matter experts to deliver data-driven insights tailored to their focus area.

The Data Analyst works with housing program staff, technical partners and community stakeholders to translate complex data into clear, actionable insights. This includes developing reports, dashboards and visualizations; supporting performance monitoring and regulatory reporting; and helping ensure data quality across housing-related systems such as HMIS, GIS platforms and other program databases. The position operates independently on assigned projects while adhering to established analytics standards, data quality practices and governance guidelines.

Key Responsibilities:

  • Create and publish reports, Power BI dashboards and visualizations for housing programs and partners
  • Design and maintain interactive Power BI dashboards to streamline housing processes
  • Analyze housing and homelessness data (HMIS and GIS) to identify trends and gaps
  • Support program evaluation through data cleaning, validation and integration
  • Prepare, validate and document data for HUD, ESG, HOME and other grant reporting
  • Monitor data quality and promote consistent data collection across housing systems
  • Translate program and landlord engagement reporting needs into analytical solutions
  • Maintain documentation for data sources, reports, dashboards and workflows
  • Collaborate with IT, vendors and internal partners to resolve data/reporting issues
  • Participate in training and knowledge sharing to support consistent data use

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