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Part Time Data 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 We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

Booz Allen Hamilton, Inc.

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

Share Data Architect The Opportunity: For an organization to transform into today's digital world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Jill Frisch

Data Entry Clerk

Atlanta, GA · On-site

$21 - $29/hr

Our company is seeking a highly detail-oriented and efficient Data Entry Clerk to join our team. A ... Excellent written and verbal communication skills Job Type: Full-time, Part-time Pay: $21.00 - $29 ...

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 week JOB SUMMARY: The Data Clerk is responsible for maintaining accurate members records and data ...

Remote Jobs Solutions

Remote Data Entry Clerk

Atlanta, GA · Remote

$16.25 - $22/hr

Remote Data Entry Clerk - Typing - Part Time Entry Level This is your opportunity to begin a long-lasting career with unlimited opportunity. Discover the freedom you've been looking for by taking a ...

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Caritas Medical Center

Be Seen First

Part time Research Coordinator

Stockbridge, GA · On-site

$25 - $30/hr

The Part Time Research Coordinator will primarily support clinical trials, playing a critical role ... Collect, manage, and analyze research data accurately * Recruit and maintain communication with ...

Qualitas LLC

Part-Time Dock Worker

Savannah, GA · On-site

$17/hr

About the Role: Qualitas LLC is looking for a Part-Time Dock Worker to join our team at our ... Data entry and monitoring * Input shipping information into the computer system * Scanning and ...

Qualitas LLC

Part-Time Dock Worker

Norcross, GA · On-site

$17/hr

About the Role: Qualitas LLC is looking for a Part-Time Dock Worker to join our team at our ... Data entry and monitoring * Input shipping information into the computer system * Scanning and ...

Qualitas LLC

Part-Time Dock Worker

Savannah, GA · On-site

$17/hr

About the Role: Qualitas LLC is looking for a Part-Time Dock Worker to join our team at our ... Data entry and monitoring * Input shipping information into the computer system * Scanning and ...

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All JobsData JobsPart Time Data JobsPart Time Data Jobs in Georgia

Part Time Data information

Will AI replace data analyst?

AI can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role is evolving to include skills in machine learning tools and data visualization, but human expertise remains critical for nuanced analysis. Therefore, AI is a tool that complements rather than replaces data analysts.

What are the key skills and qualifications needed to thrive as a Part Time Data Entry Clerk, and why are they important?

To thrive as a Part Time Data Entry Clerk, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, data management systems, and sometimes basic database tools is typically required. Reliability, time management, and the ability to work independently are important soft skills for this role. These skills ensure that data is entered accurately and efficiently, supporting overall business operations and data integrity.

What are part-time data jobs?

Part-time data jobs are positions where employees work fewer hours than a standard full-time schedule, typically focusing on tasks related to data collection, entry, analysis, or management. These roles may include data entry clerks, data analysts, or research assistants, and are often found in industries like healthcare, finance, marketing, or education. Part-time data jobs are ideal for students, individuals seeking flexible work arrangements, or those looking to gain experience in the data field without committing to a full-time role.

Can I be a data analyst with no experience?

Entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a basic understanding of statistics. Gaining certifications or completing online courses can improve chances of securing such roles without previous work experience.

Are part-time data entry jobs real?

Part-time data entry jobs are legitimate positions that involve inputting information into computer systems, often requiring basic computer skills and attention to detail. These jobs are commonly found through reputable job boards and may be remote or in-office, with flexible schedules for qualified candidates.

What are some common challenges faced by part-time data professionals, and how can they be addressed?

Part-time data professionals often encounter challenges such as managing workload within limited hours, staying updated with evolving data tools, and integrating effectively with full-time team members. To address these, clear communication about project expectations and deadlines is essential. Utilizing collaborative tools and participating in regular team meetings can help part-time staff stay aligned and contribute effectively, while ongoing learning helps bridge any skills gaps. Many organizations also encourage part-time employees to attend training sessions or workshops to stay current.

Is 40 too late for data science?

Age is not a strict barrier for data science roles, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience or certifications. Employers value diverse backgrounds and experience, so starting at 40 can still lead to a successful data science career with dedicated learning and networking.

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

AspectPart Time DataPart Time Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some courseworkRelevant degree or certification in data analysis, statistics, or related field
Work EnvironmentFlexible, often remote or freelance projectsOffice or remote, focused on analyzing data sets
Employer & Industry UsageVarious industries, including tech, marketing, researchBusinesses seeking data insights, analytics firms, research organizations

Part Time Data generally refers to flexible, entry-level data-related tasks, while Part Time Data Analyst involves more specialized analysis work requiring relevant skills and certifications. The analyst role typically demands a deeper understanding of data tools and methodologies, making it more focused on interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in Georgia? The most popular types of Data jobs in Georgia are:
What are popular job titles related to Part Time Data jobs in Georgia? For Part Time Data jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Part Time Data jobs in Georgia look for? The top searched job categories for Part Time Data jobs in Georgia are:
What cities in Georgia are hiring for Part Time Data jobs? Cities in Georgia with the most Part Time Data job openings:
Part Time Data jobs near you
Infographic showing various Part Time Data job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Analyst (Part-Time Contractor)

Data Analyst (Part-Time Contractor)

Stable Kernel

Atlanta, GA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

About the Company:
Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA. We're a privately held, Great Place to Work Certified Company™ with multi-awards for our amazing culture. Plus we have an impressive 10+ year trajectory of sustainable growth. At Stable Kernel, we support our colleagues in ways that help them do some of the best work of their lives.
About the Role:
As a Data Analyst (DA2) at Stable Kernel you will play a key role in converting data into insights that inform client and internal product roadmaps. Working with cross-functional teams, you will independently design dashboards, build reporting queries, and translate high-level questions into measurable metrics. Your blend of analytical, communication and problem-solving skills will help clients evaluate how their products operate and identify opportunities for improvement.
Data Analysts report directly to our Principal Data Strategist.
Core Responsibilities Include:
  • Technical Impact:
    • Designing and building dashboards and reports that align with business objectives, using advanced features of business intelligence tools (e.g., complex SQL, calculated fields and advanced charting).
    • Defining success metrics and measurement plans for new products and features
    • Tracking design and data requirements, suggesting scalable and reusable solutions.
    • Monitoring dashboard and data health, investigating anomalies and resolving data quality issues.
    • Contributing to documentation updates and maintaining data dictionaries to ensure shared understanding across projects.
    • Improving the efficiency or usability of existing reports and solutions by creating reusable queries or components and training junior analysts on tool basics.
    • Collaborating with product and engineering to understand technical dependencies and translate business questions into data solutions, sharing insights during cross-functional meetings.
  • Business Alignment:
    • Translating high-level client or project goals into data questions and metrics; validate that analyses align with these objectives and advise on measurement priorities.
    • Providing actionable insights that inform decisions and connect analysis outcomes clearly to business KPIs, suggesting optimizations based on trends or findings.
    • Breaking down analysis tasks, providing accurate estimates, and communicating expected effort and trade-offs while factoring in data complexities.
    • Building a strong understanding of the client domain and user journeys, incorporating domain nuances into analyses and understanding dependencies with engineering, product and marketing processes.
    • Supporting development of reusable dashboards, frameworks and templates, contribute to internal best practices and documentation, and share learnings across projects.
  • Consulting:
    • Coordinating closely with cross-functional teams to understand dependencies and identify data needs or risks early.
    • Building trust through reliable delivery and begin advising on analysis prioritization based on business impact.
    • Supporting roadmap discussions with data-backed insights, help triage competing requests and propose small enhancements where data can add value.
    • Suggesting improvements to existing metrics or frameworks and contributing to proposal or workshop preparation.

Interacting with Others: Coordinating analytics tasks within cross-functional pods, clarifying dependencies with product, design and engineering teams.Supporting project planning and sprint alignment by providing clear, structured updates in stand-ups and reviews.Sharing insights that inform product or marketing decisions, recommending reporting improvements or new analyses and advising on best practices for metrics interpretation.Supporting teammates by providing tool and process guidance, proactively communicating risks and mitigation plans, and documenting progress in shared tools.
  • Problem-Solving:
    • Solving moderately complex analysis challenges independently by proposing hypotheses, validating with data and recommending actionable insights.
    • Defining scope when details are unclear, suggest initial approaches to move work forward and clarify assumptions in analysis.
    • Identifying data or analysis risks and proposing mitigation steps, communicating risks clearly to project teams and escalating blockers or risks appropriately with context.
    • Documenting troubleshooting steps before escalation.
  • Leadership:
    • Identifying inefficiencies in workflows within the team and suggesting and implementing process improvements.
    • Promoting data quality and consistency by encouraging adherence to standard metrics and definitions and providing guidance to junior analysts on tools and approaches.
    • Sharing knowledge in informal training and leading small analytics projects or pods, coordinating task execution and dependencies to ensure alignment on goals.

Intimate, Working Familiarity With:
  • Familiarity with data warehouses, product analysis, statistical analysis tools and experience with large data sets and has managed their reliability and consistency.
  • Experience with implementing and maintaining product analytics tools (such as GA4, Pendo, Amplitude) and strategy.
  • Experience with app performance, analysis, app store optimization and A/B testing.
  • Experience with data activation tools.
  • Experience using SQL and Python.
  • Experience with observability and data visualization tools such as Grafana, DataDog, Tableau, Looker or PowerBI.
  • Experience using analytics-related tools such as Databricks or Amplitude.
  • Familiarity with Microsoft Office Suite.

General Requirements:
  • 3-5 years of experience as a data analyst.
  • Experience working in a consulting or professional services organization.
  • A bachelor's degree in data analytics, data science, a quantitative/analytical field, or similar.

Nice-to-haves:
  • Ability to effectively test APIs using standard tools such as Postman and curl.
  • Experience using agile work management tools such as Jira.

A Bit More Info:
Minimum Base Compensation: $65 per hour
This is a part-time contract position.
Stable Kernel operates a People Before Place Hybrid model, allowing most employees to choose where they can do their best work most days.
Travel may be associated with this role as it requires you to maintain an in-office presence in a hybrid capacity for regular in-person engagements for both clients and internal teams.
Our generous total compensation package includes:
  • Company-subsidized health, vision, and dental plan premium options beginning on the first day of employment
  • 401k with above-average company matching
  • Fully paid Group Life, Short and Long Term Disability, and AD&D insurance
  • Optional Flexible Spending Account, Dependent Care Flexible Spending Account, and Health Savings Account participation
  • Voluntary Life, Critical Illness, and Accident insurance
  • EAP and Health Advocacy program available at no cost to employees and their dependents
  • $1500-3000 annual industry educational budget
  • Paid time off and paid holidays
  • Access to Perks at Work program featuring a variety of discounted products and services

*Note - We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.
Stable Kernel's culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate on the basis of race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.
However, we will discriminate against those unwilling to comply with the practice of our company values:
  • we work with integrity always
  • we respect our work and each other
  • we are dedicated to life-long learning and sharing
  • we stay hungry for new challenges

If you are like-minded in this regard, we hope you will apply. We look forward to meeting you.

Apply