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Data Cleaning Jobs in Georgia (NOW HIRING)

Experience in data cleaning and preprocessing, including handling missing data and duplicates. * Ability to validate data integrity and consistency. * Familiarity with statistical analysis and ...

Data Cleaning: Preprocess and clean data to ensure consistency, address missing values, and remove outliers.Exploratory Data Analysis (EDA): Conduct in-depth analysis to understand data ...

Data Cleaning: Preprocess and clean data to ensure consistency, address missing values, and remove outliers.Exploratory Data Analysis (EDA): Conduct in-depth analysis to understand data ...

Data Cleaning : Preprocess and clean data to ensure consistency, address missing values, and remove outliers. * Exploratory Data Analysis (EDA) : Conduct in-depth analysis to understand data ...

We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information ...

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

Roswell, GA · 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 ...

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

Athens, GA · 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

Carrollton, GA · 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

Duluth, GA · 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

Woodstock, GA · 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

Johns Creek, GA · 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

Alpharetta, GA · 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

Marietta, GA · 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

Atlanta, GA · 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

Augusta, GA · 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 ...

Excellent problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and data preparation for visualization * Personal qualities ...

Querying, pre-processing, data cleaning, feature engineering and analyzing large amounts of structured and Unstructured data(terabytes/petabytes) across multiple data sources using structured query ...

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Data Cleaning information

See Georgia salary details

$7

$32

$70

How much do data cleaning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data cleaning in Georgia is $32.28, according to ZipRecruiter salary data. Most workers in this role earn between $13.09 and $51.62 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.

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 skills are needed for data cleaning?

Data cleaning requires skills in data analysis, attention to detail, and proficiency with tools like Excel, SQL, or data cleaning software. Knowledge of data formats, basic programming (e.g., Python or R), and understanding of data quality principles are also important for effective data cleaning tasks.

What are the most commonly searched types of Data Cleaning jobs in Georgia?

The most popular types of Data Cleaning jobs in Georgia are:

What job categories do people searching Data Cleaning jobs in Georgia look for?

The top searched job categories for Data Cleaning jobs in Georgia are:

What cities in Georgia are hiring for Data Cleaning jobs?

Cities in Georgia with the most Data Cleaning job openings:

Infographic showing various Data Cleaning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $67,151 per year, or $32.3 per hour.

Public Health Data & Documentation Specialist

Cherokee Federal

Atlanta, GA • On-site

$70K - $72K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description


Public Health Data & Documentation Specialist (Data Manager)
This position supports public health data and documentation activities focused on program and surveillance system maintenance, data processing, quality assurance, documentation generation, reporting, and workflow improvement. The Public Health Data & Documentation Specialist maintains accurate and complete program records and supports data-driven public health activities through the management, validation, and documentation of structured data and related products.
The successful candidate will update and maintain program, surveillance, and tracking systems; process and validate structured data files; generate individualized letters, status summaries, documentation packets, and other program products; and conduct data cleaning, merging, deduplication, and quality assurance. This role also supports reproducible workflows, documentation standards, project coordination, discrepancy resolution, and the secure handling of personally identifiable and health information.
Compensation & Benefits:
Estimated Starting Salary Range for Public Health Data & Documentation Specialist (Data Manager): $70,000.00-72,000.00/yr.
Pay commensurate with experience.
Full-time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice.
Public Health Data & Documentation Specialist (Data Manager) Responsibilities Include:
  • Pilot new or revised workflows using test, historical, or otherwise approved data; document issues and unresolved decisions; and prepare workflows for routine implementation.
  • Update and maintain program, surveillance, and tracking systems to ensure records are current, complete, and accurate.
  • Ingest structured data files and apply program-defined business rules to generate individualized letters, status summaries, documentation packets, and other products for system attachment, partner review, and public health follow-up. Validate generated documentation products against source records before release, upload, or attachment.
  • Manage data files, documentation packets, generated letters, issue logs, partner submissions, and final records in approved systems and secure storage locations.
  • Develop and maintain reproducible workflows in R, R Markdown, Power BI, Excel, Microsoft Access, or comparable tools to support data processing, documentation generation, quality assurance, and reporting.
  • Track workflow volume, outstanding records, exceptions, completeness, turnaround time, and other program-defined measures and provide routine status summaries.
  • Conduct data cleaning, merging, deduplication, validation, quality assurance, and preliminary descriptive analyses in R, SAS, or comparable packages to support program monitoring, presentations, publications, inquiry responses, partner communications, and leadership requests.
  • Prepare and maintain data dictionaries, codebooks, templates, standard operating procedures (SOPs), workflow documentation, and version-control procedures
  • Identify data, documentation, workflow, or system discrepancies; research anomalies; coordinate corrections with program staff, system users, informatics staff, and internal or external partners; and recommend process improvements.
  • Provide routine project management and coordination support, including tracking timelines, milestones, deliverables, risks, decisions, meeting notes, follow-up items, and action items.
  • Handle personally identifiable information and health information in accordance with applicable privacy, information security, records management, and data-use requirements.
  • Perform other duties as assigned.

Public Health Data & Documentation Specialist (Data Manager) Experience, Education, Skills, Abilities requested:
  • Bachelor's degree in public health, epidemiology, health informatics, data science, information systems, statistics, or a related field; master's degree preferred.
  • Experience maintaining program, surveillance, tracking, or health information systems and managing structured data and documentation.
  • Experience with data cleaning, merging, deduplication, validation, quality assurance, and preliminary descriptive analysis using R, SAS, Excel, Microsoft Access, or comparable tools.
  • Experience developing or maintaining reproducible workflows, automated documentation processes, reports, or data products using R, R Markdown, Power BI, Excel, Microsoft Access, or comparable tools.
  • Experience preparing data dictionaries, codebooks, templates, SOPs, workflow documentation, or version-control procedures.
  • Experience identifying data or system discrepancies, researching anomalies, coordinating corrections, and implementing process improvements.
  • Strong organizational, analytical, and problem-solving skills, with attention to data accuracy, documentation quality, and process consistency.
  • Strong written and verbal communication skills and ability to coordinate effectively with program staff, informatics personnel, system users, and internal or external partners.
  • Ability to manage multiple tasks, timelines, deliverables, and follow-up activities in a structured public health environment.
  • Knowledge of privacy, information security, records management, and data-use requirements applicable to personally identifiable and health information.
  • Must pass pre-employment qualifications of Cherokee Federal.

Preferred Qualifications:
  • Experience supporting public health surveillance, program monitoring, or health information systems.
  • Experience generating individualized letters, status summaries, documentation packets, or other data-driven products from structured source files.
  • Experience developing quality assurance processes and reproducible workflows for public health data and documentation.
  • Experience providing project coordination support, including tracking milestones, risks, decisions, deliverables, and action items.

Company Information:
Cherokee Nation Integrated Health (CNIH) is a part of Cherokee Federal - the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government's mission with compassion and heart. To learn more about CNIH, visit cherokee-federal.com.
#CherokeeFederal #LI-CK1
Cherokee Federal is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply.
Similar Searchable Job Titles:
  • Public Health Data Analyst
  • Epidemiology Analyst I
  • Health Data Analyst
  • Monitoring & Evaluation Analyst

Keywords:
  • Public Health Data
  • Surveillance
  • Data Validation
  • Documentation
  • Data Management
  • Quality Assurance
  • R / R Markdown
  • Power BI
  • Excel / Microsoft Access
  • Workflow Development
  • Public Health Reporting

Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law.
Many of our job openings require access to government buildings or military installations.

Cherokee Federal logo

About Cherokee Federal

Sourced by ZipRecruiter

Cherokee Federal - a division of Cherokee Nation Businesses - is a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nation's mission around the globe for more than 60 federal clients. Our team of companies manages nearly 1,000 projects of all sizes across the construction, consulting, engineering and manufacturing, health, and technology portfolios. Since 2012, the Cherokee Federal team of companies has won more than $5 billion in government contracts. Our 3,000+ employees work in 26 countries, 50 states and 2 U.S. territories. Why choose Cherokee Federal? Visit our website and learn about the great reasons to join our team. cherokee-federal.com

Industry

Architectural services

Company size

1,001 - 5,000 Employees

Headquarters location

Tulsa, OK, US

Year founded

1969

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