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Part Time Data & Analytics Jobs (NOW HIRING)

Data Analyst

Charlottesville, VA · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst, Senior

Columbia, MD · On-site

$85K - $107K/yr

Use your data analytics expertise to support client and stakeholder relationships. * Research ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$77K - $176K/yr

Data Analytics Platform Engineer The Opportunity: Ever-expanding technology like IoT, machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

... 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, and technical expertise to ...

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99K - $125K/yr

Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e ...

We are currently recruiting for a Business Analytics Part-Time Intern to work on-site at our headquarters in Opelika, Alabama. This role is integral to analyzing app usage data, deriving insights to ...

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Part Time Data Analytics information

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$24

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How much do part time data & analytics jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for part time data & analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

How much do part-time data analysts make?

Part-time data analysts typically earn between $20 and $40 per hour, depending on experience, location, and industry. Salaries can vary based on skills in tools like Excel, SQL, or Python, and whether the role requires specialized knowledge or certifications.

Can I do data analyst part-time?

Yes, data analyst roles can often be performed part-time, especially in freelance or consulting capacities. Many companies offer part-time or flexible schedules for data analysis positions, which may require proficiency in tools like Excel, SQL, or Python. Availability depends on the employer's needs and the specific job requirements.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment and contextual understanding crucial in the analytics process.

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

To thrive as a Part Time Data & Analytics professional, you typically need a background in statistics, mathematics, or computer science, along with experience in data analysis and interpretation. Familiarity with tools like Excel, SQL, Python, or Tableau is commonly required, and certifications in data analytics or related fields can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help individuals excel in this role. These skills and qualities are crucial for delivering actionable insights that drive informed decision-making and business success.

Is 40 too late for data science?

Part Time Data & Analytics roles often value skills and experience over age, and many professionals transition into data science later in their careers. Gaining relevant certifications, such as in SQL or Python, and building a portfolio can help demonstrate capability regardless of age.

What are part-time data & analytics jobs?

Part-time data & analytics jobs involve working with data to gather insights, create reports, and support decision-making, but on a reduced or flexible work schedule. These roles may include tasks like data cleaning, analyzing trends, creating dashboards, and presenting findings to stakeholders. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing other commitments. Employers often look for candidates with skills in Excel, SQL, or data visualization tools. These jobs can be found in many industries, including marketing, healthcare, finance, and technology.

How does a part-time Data & Analytics professional typically collaborate with full-time team members to ensure project continuity?

Part-time Data & Analytics professionals often coordinate closely with full-time team members through regular check-ins, shared documentation, and project management tools to maintain seamless workflow. They may attend key meetings, provide updates on their progress, and clarify priorities to ensure that their contributions align with ongoing projects. Effective communication and proactive scheduling are essential to bridge any gaps due to limited hours, allowing part-time analysts to stay informed and integrated with the team's objectives.
More about Part Time Data Analytics jobs
What cities are hiring for Part Time Data & Analytics jobs? Cities with the most Part Time Data & Analytics job openings:
What are the most commonly searched types of Data & Analytics jobs? The most popular types of Data & Analytics jobs are:
What states have the most Part Time Data & Analytics jobs? States with the most job openings for Part Time Data & Analytics jobs include:
Infographic showing various Part Time Data & Analytics job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 36% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data Analyst Intern

Data Analyst Intern

Summit Spine and Joint Centers

Lawrenceville, GA • On-site

Full-time, Part-time, Internship

Posted 20 days ago


Job description

Company Overview:
Summit Spine and Joint Centers (SSJC) is a rapidly growing, multi-state Interventional Pain Management group practice providing integrated clinical, surgical, and imaging services. With clinic locations across Georgia, North Carolina, South Carolina, and Tennessee, our care teams include Integrated Pain Solutions in North Carolina and Savannah Pain Management in Georgia, all operating as part of the SSJC organization. As one of the largest single-specialty practices in the nation, we are committed to collaboration, high-quality patient-centered care, and supporting our teams as we continue to expand. We are seeking motivated, qualified professionals to join us in delivering exceptional care across our growing network.
Job Description Summary:
Under general supervision of an Operations Analyst, the Data Analyst Intern must demonstrate excellent communication skills, strong problem-solving abilities, and the ability to multitask in a fast-paced environment. We are seeking a part-time, self-motivated Data Analyst Intern who will assist with administrative and data-related tasks.
This is a part-time position reporting to the Director of Administrative Operations. The primary location will be at the Administrative Building in Lawrenceville, GA. There is potential for a full-time, permanent offer upon completion of the internship based on business needs and performance.
Responsibilities:
• Learn aspects of data analysis and reporting while working directly with team leadership
• Collect and organize data to support business and operational decisions
• Assist in maintaining and updating databases and data systems
• Create and update reports and dashboards
• Identify trends and patterns through data analysis
• Perform various other data-related functions as necessary
Education and Skills:
• Bachelor's degree in progress or recently completed, with a focus in STEM, Data Analytics, Finance, Business, Economics, Engineering, or a related field
• Familiarity with Microsoft Office
• Excellent written and verbal communication skills
• Ability to work independently and in a team environment
• Basic knowledge of data analysis concepts and tools preferred