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Part Time Data Analyst Jobs in Acworth, GA (NOW HIRING)

City Of Roswell

Part Time IT Data Analyst I

Roswell, GA · On-site

$20/hr

Non-Exempt JOB SUMMARY This is a part-time, entry-level position working 20 hours or less per week. The IT Data Analyst I supports the collection, organization, and analysis of data and assists in ...

New

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

YO AI Labs

AI Data Science Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Booz Allen Hamilton, Inc.

Data Engineer

Atlanta, GA · On-site

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You'll use your experience in analytical exploration and data examination while you manage the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Apex ABA Therapy

BCBA - Clinical Assessor

Roswell, GA · Hybrid

$90K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Monitor client progress and adjust treatment plans as necessary based on data analysis. Stay ... Job Types: Full-time, Part-time Contract Pay: PT - Starting at 90$ hourly / FT - Starting at $90 ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Acworth, GA

Part Time Data Analyst information

See Acworth, GA salary details

$30.4K

$73.8K

$121.4K

How much do part time data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for part time data analyst in Acworth, GA is $73,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $86,600.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a part time data analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible staffing options to analyze data, generate insights, and support decision-making. Skills in tools like Excel, SQL, and data visualization software are valuable, and remote or flexible schedules are increasingly common in this field.
More about Part Time Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Acworth, GA?

The most popular types of Data Analyst jobs in Acworth, GA are:

What job categories do people searching Part Time Data Analyst jobs in Acworth, GA look for?

The top searched job categories for Part Time Data Analyst jobs in Acworth, GA are:

What cities near Acworth, GA are hiring for Part Time Data Analyst jobs?

Cities near Acworth, GA with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Acworth, GA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $73,769 per year, or $35.5 per hour.

Part Time IT Data Analyst I

City Of Roswell

Roswell, GA • On-site

$20/hr

Part-time

Posted 2 days ago

New

Job description

City of Roswell, Georgia

JOB DESCRIPTION www.roswellgov.com/jobs

To perform this job successfully, an individual must be able to perform the essential job functions satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary job functions herein described. Since every duty associated with this position may not be described herein, employees may be required to perform duties not specifically spelled out in the job description, but which may be reasonably considered to be incidental in the performing of their duties just as though they were actually written out in this job description.


Department: Administration

FLSA Status: Non-Exempt

JOB SUMMARY

This is a part-time, entry-level position working 20 hours or less per week. The IT Data Analyst I supports the collection, organization, and analysis of data and assists in developing reports, dashboards, and visualizations that support decision-making across the City. Working under the direction of the Enterprise and Data Manager and alongside senior analytics staff, the position performs foundational data tasks with guidance.

The role is well suited to an early-career analyst building experience in data analysis, reporting, and business intelligence. It emphasizes learning established tools and processes, producing accurate routine and ad-hoc reporting, and following the City's data governance and quality practices rather than defining them.

ESSENTIAL JOB FUNCTIONS
  • Assists in collecting, cleaning, and validating datasets from multiple sources to support data accuracy and integrity.
  • Helps analyze data to identify basic trends and patterns under the guidance of senior staff.
  • Assists in building and maintaining dashboards, reports, and data visualizations for business users.
  • Runs, refreshes, and updates existing reports, and produces routine and ad-hoc analyses as requested.
  • Helps translate business requirements into simple reporting solutions and communicates findings clearly to non-technical users.
  • Supports cross-functional teams (IT, Finance, Comms, Comm Dev, and others) in gathering data and reporting requirements.
  • Assists in monitoring key performance indicators (KPIs) and in maintaining routine and automated reporting processes.
  • Follows established data governance, privacy, and security policies and procedures.
  • Assists senior analytics staff with data-management and data-quality tasks.
  • Performs other related tasks and duties as required.
MINIMUM QUALIFICATIONS

Education and Experience

  • Enrollment in or completion of coursework, a certificate, or a degree in Data Analytics, Statistics, Computer Science, Information Systems, Mathematics, Business, or a related field.
  • Zero to one (0-1) years of experience in a data, analytics, reporting, or related role; relevant internships, academic projects, or coursework may substitute for professional experience.
  • Foundational proficiency in Microsoft Excel, including sorting, formulas, and pivot tables.
  • Basic familiarity with SQL and/or a data visualization tool (such as Power BI) is preferred.
  • Any equivalent combination of education, training, and experience that provides the requisite knowledge, skills, and abilities may be considered.
Special Requirements
  • Part-time schedule, working 20 hours or less per week.



KNOWLEDGE, SKILLS, AND ABILITIES
  • Strong attention to detail, reliability, and a willingness to learn.
  • Good written and verbal communication skills, with the ability to present simple findings clearly.
  • Ability to follow instructions and work effectively under the guidance of senior staff.
  • Basic problem-solving skills and the ability to organize and manage assigned tasks and deadlines.
  • Interest in developing skills in SQL, data visualization (such as Power BI), and data analysis.
  • Ability to handle data responsibly and maintain confidentiality.
  • Familiarity with scripting or automation (such as Python or SQL), cloud data platforms, or data warehousing concepts is a plus, but is not required.
PHYSICAL DEMANDS

The work is sedentary to light, which requires the ability to exert light physical effort, but which may involve some lifting, carrying, pushing and/or pulling of objects and materials of light weight (up to 10 pounds). Tasks may involve extended periods of time at a keyboard or workstation. Tasks also require the ability to perceive and discriminate colors or shades of colors, depth, texture, and visual cues or signals. The position requires the ability to communicate orally and in writing.

WORK ENVIRONMENT

Work is regularly performed without exposure to adverse environmental conditions.


The City has the right to revise this job description at any time. This description does not represent in any way a contract of employment.

The City of Roswell, Georgia commits to a policy of equal employment opportunity for applicants and employees, complying with local, state and federal laws. The City's policy is to employ qualified persons without discrimination regarding race, creed, color, religion, age, sex, country of national origin, marital status, disability, sexual orientation, gender identity, genetic information, political affiliation, ethnicity, or status in any other group protected by federal/state/local law.