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Part Time Data Analytics Lead Jobs (NOW HIRING)

Data Analyst

Dayton, OH · 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 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

$98K - $124K/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 Lead information

See salary details

$60.5K

$123.8K

$175K

How much do part time data analytics lead jobs pay per year?

As of Jul 11, 2026, the average yearly pay for part time data analytics lead in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Analytics Lead jobs? The most popular types of Data Analytics Lead jobs are:
Infographic showing various Part Time Data Analytics Lead job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $123,849 per year, or $59.5 per hour.
Data Analyst Intern

Data Analyst Intern

Summit Spine and Joint Centers

Lawrenceville, GA • On-site

Full-time, Part-time, Internship

Posted 14 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