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Part Time Data Management Jobs in Georgia (NOW HIRING)

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science ... management, and health IT operations leveraging experience and trusted talent to solve the federal ...

BOYS & GIRLS CLUB OF LANIER

DATA CLERK (PT)

Baldwin, GA · On-site

$14 - $17/hr

This is a Part-Time Position Location: Habersham Success Academy Baldwin Elementary 25 hours per ... managing membership files. ESSENTIAL JOB FUNCTIONS AND ACCOUNTABILITIES: * Ensure club member ...

IQVIA

Clinical Trial Nurse

Augusta, GA

$50 - $60/hr

Proficiency with EDC systems and a high level of accuracy in data management * Strong ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

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All JobsPart Time Data Management JobsPart Time Data Management Jobs in Georgia

Part Time Data Management information

See Georgia salary details

$12

$27

$47

How much do part time data management jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for part time data management in Georgia is $27.93, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $33.08 per hour, depending on experience, location, and employer.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in consulting, freelance projects, or roles with flexible schedules. However, many full-time positions are more common due to the complexity and time demands of data analysis, modeling, and tool proficiency such as Python or R.

What is a Part Time Data Management job?

A Part Time Data Management job involves handling, organizing, and maintaining data for a company on a limited-hour basis. Responsibilities may include data entry, cleaning, updating databases, and ensuring data integrity. These roles are common in industries like finance, healthcare, and marketing, where accurate data is essential. Part-time positions may offer flexible hours, making them ideal for students or professionals seeking supplementary income. Proficiency in data management tools like Excel, SQL, or database software is often required.

How to make 2000 a week working from home?

Part time data management roles can offer flexible schedules, but earning $2000 weekly typically requires working multiple hours or taking on high-volume projects. Developing strong organizational skills, proficiency with data tools, and seeking contracts with higher pay rates can help increase earnings, though reaching that level part-time may be challenging without additional income sources.

What are the key skills and qualifications needed to thrive in the Part Time Data Management position, and why are they important?

To thrive as a Part Time Data Management professional, you need a strong attention to detail, data entry accuracy, and familiarity with data organization principles, typically supported by relevant coursework or experience. Proficiency in tools such as Microsoft Excel, database management systems (like SQL), and data visualization software is often expected, and certifications in data analytics or database administration can be an advantage. Strong organizational, time-management, and communication skills help individuals excel when handling multiple tasks and collaborating with team members. These skills are essential to ensure data integrity, support business operations, and contribute effectively within a part-time capacity.

What are the typical daily responsibilities for someone in a Part Time Data Management position?

In a Part Time Data Management role, your daily tasks often include entering, updating, and verifying data in company databases to maintain accuracy and consistency. You may also be responsible for generating regular reports, performing data quality checks, and assisting with the organization and archiving of important records. Collaboration with other departments, such as IT or finance, is common to ensure data requirements are met and to resolve any discrepancies. This structured yet flexible work typically supports broader business functions and can provide valuable experience in both technical and analytical aspects of data management.

How much do part-time data analysts make?

Part-time data analysts typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the data tasks. Salaries can vary based on industry, certifications, and whether they work freelance or for an organization, with some earning higher rates for specialized skills like SQL or Python.

Is data management a good career option?

Data management is a viable career choice, especially for roles like part-time data management, which involve organizing, storing, and maintaining data using tools such as databases and spreadsheets. It requires strong attention to detail, technical skills, and often familiarity with data privacy standards, making it suitable for individuals interested in information systems and data analysis.
What are the most commonly searched types of Data Management jobs in Georgia? The most popular types of Data Management jobs in Georgia are:
What are popular job titles related to Part Time Data Management jobs in Georgia? For Part Time Data Management jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Part Time Data Management jobs in Georgia look for? The top searched job categories for Part Time Data Management jobs in Georgia are:
Part Time Data Management jobs near you
Part-time Instructor - Data Analytics, Artificial Intelligence & Business Technology

Part-time Instructor - Data Analytics, Artificial Intelligence & Business Technology

Columbus Technical College

Columbus, GA • On-site

Part-time

Posted 3 days ago

Job description

Columbus Technical College is looking for an individual to serve as a part-time Instructor for Data Analytics, Artificial Intelligence, and Business Technology in our Economic Development division. This position is responsible for the delivery of high-quality workforce training programs designed to prepare students, incumbent workers, military personnel, transitioning service members, and business professionals with the knowledge and skills required in today's data-driven economy.
The instructor will teach and facilitate courses across a broad spectrum of technology-related topics including Artificial Intelligence (AI) for Business, Data Analytics, Data Visualization, Business Intelligence, Digital Transformation, Microsoft Power Platform, Excel Analytics, Predictive Analytics, CompTIA certification preparation courses, and emerging technology applications. Instruction may be delivered in classroom, virtual, hybrid, or customized corporate training environments. This position is part-time/exempt. 
Responsibilities:
  • Instruction and Facilitation Deliver engaging and effective instruction in assigned workforce development and economic development training programs.
  • Teach courses in areas including but not limited to:
    • Artificial Intelligence for Business & Generative AI Applications
    • Prompt Engineering
    • AI Productivity Tools
    • Data Analytics Fundamentals
    • Business Analytics & Data Visualization
    • Business Intelligence Microsoft Excel (Basic through Advanced)
    • Power BI
    • Tableau
    • Microsoft Power Platform
    • Data Storytelling
    • Dashboard Development
    • SQL Fundamentals
    • Data Management
    • Process Automation
    • Digital Transformation & Emerging Business Technologies
    • CompTIA Data+, CompTIA A+, CompTIA Network+, CompTIA Security+, CompTIA Tech+
  • Facilitate hands-on learning experiences using real-world business scenarios and datasets
  • Assess student performance through projects, assignments, demonstrations, presentations, and examinations
  • Maintain a positive and professional learning environment that promotes student engagement and success
  • Curriculum Development
  • Workforce & Industry Engagement
  • Student Support
  • Administrative Responsibilities
Minimum Qualifications:
  • Bachelor's degree in Data Analytics, Information Technology, Computer Science, Business Analytics, Information Systems, or a closely related field
  • Three (3) years of professional experience in data analytics, business intelligence, artificial intelligence, technology implementation, cybersecurity, networking, IT support, or related fields. Demonstrated proficiency in Microsoft Excel, Power BI, business analytics tools, and/or CompTIA-aligned technologies
  • Experience delivering training, instruction, presentations, or workforce development programs
Preferred Qualifications:
  • Master's degree in a related field
  • Industry certifications such as:
    • Microsoft Power BI Data Analyst
    • Associate Microsoft Certified Trainer (MCT) 
    • Tableau Certification
    • Google Data Analytics Certificate
    • AWS AI Practitioner
    • Microsoft AI Certifications
    • CompTIA Data+
    • CompTIA A+
    • CompTIA Network+
    • CompTIA Security+
    • CompTIA Tech+
    • CompTIA CySA+
    • CompTIA Cloud+
    • Experience delivering customized corporate training
    • Experience working with adult learners and workforce development programs
    • Experience supporting economic development initiatives and industry partnerships

Salary/Benefits:
Pay rate is commensurate with education and experience, no benefits.

Application Deadline:
Applications accepted until June 15, 2026. Applicants must submit a Columbus Technical College employment application online and upload a cover letter, resume and copy of transcript(s) at time of application (Incomplete submissions will not be considered). **Please note: All references will be checked prior to employment offer. Post offer requirements will include a criminal background check and motor vehicle records check. **
Please note: If you are a current retiree of the State of Georgia Teachers Retirement System (TRS) or Employee’s Retirement System (ERS), you must contact your retirement system prior to working for Columbus Technical College and verify your eligibility to work and the work hour limitations. Failure to comply with the retirement system’s requirements may cause a delay or stoppage of your retirement pay.  Upon hire, you must notify Columbus Technical College Human Resources Department of your retirement status.

Employment Policy:
Equal opportunity and decisions based on merit are fundamental values of the Technical College System of Georgia (TCSG). The TCSG State Board prohibits discrimination on the basis of an individual’s age, color, disability, genetic information, national origin, race, religion, sex, or veteran status (“protected status”). No individual shall be excluded from participation in, denied the benefits of, or otherwise subjected to unlawful discrimination, harassment, or retaliation under, any TCSG program or activity because of the individual’s protected status; nor shall any individual be given preferential treatment because of the individual’s protected status, except the preferential treatment may be given on the basis of veteran status when appropriate under federal or state law.
Columbus Technical College is an equal opportunity employer. All employment processes and decisions, including but not limited to hiring, promotion, and tenure shall be free of ideological tests, affirmations, and oaths, including diversity statements. The basis and determining factor for such decisions should be that the individual possesses the requisite knowledge, skills, and abilities associated with the role, and is believed to have the ability to successfully perform the essential functions, responsibilities, and duties associated with the position for which the person is being considered. At the core of any such decision is ensuring the institution’s ability to achieve its mission and strategic priorities in support of student success.
For nondiscrimination information, please contact:

  • Dr. Felicia Harris, Title IX Coordinator for Students – 706.641.5032, fharris@columbustech.edu
  • Jennifer Thompson, Title IX Coordinator for Employees – 706.649.1883, jthompson@columbustech.edu
  • Olive Vidal-Kendall, Section 504 Coordinator (ADA/Section 504) – 706.649.1442, ovidal-kendall@columbustech.edu

All coordinators can also be reached at Columbus Technical College, 928 Manchester Expressway, Columbus, Georgia 31904-6572.

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