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Part Time Remote Data Analyst Jobs in Columbia, SC

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

micro1 AI

Private Funds Attorney - Remote

Columbia, SC · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Columbia, SC · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Corporate Funds Legal Consultant

Columbia, SC · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Corporate M&A Associate

Columbia, SC · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Lawyer (Asset Management)

Columbia, SC · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Transaction Attorney

Columbia, SC · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Corporate Transactions Attorney

Columbia, SC · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Commercial Counsel

Columbia, SC · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

All JobsData Analyst JobsPart Time Remote Data Analyst JobsPart Time Remote Data Analyst Jobs in Columbia, SC

Part Time Remote Data Analyst information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

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

As of Jul 30, 2026, the average yearly pay for part time remote data analyst in Columbia, SC is $76,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 per year, depending on experience, location, and employer.

How to make $2000 a week working from home?

A part-time remote data analyst can increase earnings by taking on multiple freelance projects, improving skills in data tools like Excel or SQL, and building a strong client network. Earning $2000 weekly typically requires working several hours per week at competitive rates or securing high-paying contracts. Consistent performance and specialized expertise can help achieve higher income levels from home.

What are the most common challenges faced by part-time remote data analysts, and how can I overcome them?

Part-time remote data analysts often encounter challenges related to time management, communication across different teams, and maintaining data security. Effectively prioritizing tasks and setting structured work hours can help ensure deadlines are met, even with a flexible schedule. It’s important to proactively communicate with managers and team members to stay aligned on project requirements and deliverables, making use of collaboration tools like Slack or Microsoft Teams. Staying organized and keeping up with data privacy protocols will also help you maintain the quality and integrity of your analysis while working remotely. Adopting these practices can make your remote work experience more productive and rewarding.

How to make $1000 a week remote?

A part-time remote data analyst can earn $1000 a week by combining multiple freelance or contract projects, leveraging skills in data analysis tools like Excel, SQL, or Python. Building a strong portfolio, gaining certifications, and applying to high-paying freelance platforms can help increase earnings to this level while maintaining flexible schedules.

What is a Part Time Remote Data Analyst job?

A Part Time Remote Data Analyst collects, processes, and analyzes data to help businesses make informed decisions while working remotely and on a part-time schedule. Responsibilities often include cleaning datasets, creating reports, and identifying trends using statistical tools. This role is ideal for individuals who excel at data interpretation and want flexibility in their work hours. Common industries hiring for this position include finance, healthcare, e-commerce, and marketing. Strong skills in Excel, SQL, Python, or R are typically required.

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

To thrive as a Part Time Remote Data Analyst, a strong foundation in data analysis, statistical methods, and attention to detail is essential, typically supported by a relevant degree or coursework in data science, statistics, or a related field. Proficiency with analytical tools such as Excel, SQL, Python, or business intelligence platforms, as well as familiarity with data visualization software and data privacy best practices, is generally expected. Strong communication, time management, and problem-solving abilities help remote analysts effectively interpret data, meet deadlines, and present actionable insights to stakeholders. These skills ensure accurate, insightful analysis and foster productive collaboration in virtual team environments.

Is 40 too late for data science?

For a part-time remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Excel or SQL, regardless of age. Continuous learning and practical experience are key factors in entering the field at any age.

Is it possible to get a remote job as a data analyst?

Yes, many companies offer remote data analyst positions that can be performed from anywhere with a reliable internet connection. These roles often require skills in data visualization, SQL, and Excel, and may involve using tools like Tableau or Power BI. Remote data analyst jobs are widely available across various industries and typically offer flexible schedules.
What are the most commonly searched types of Remote Data Analyst jobs in Columbia, SC? The most popular types of Remote Data Analyst jobs in Columbia, SC are:
What are popular job titles related to Part Time Remote Data Analyst jobs in Columbia, SC? For Part Time Remote Data Analyst jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Analyst jobs in Columbia, SC look for? The top searched job categories for Part Time Remote Data Analyst jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Part Time Remote Data Analyst jobs? Cities near Columbia, SC with the most Part Time Remote Data Analyst job openings:
Part Time Remote Data Analyst jobs near you
Infographic showing various Part Time Remote Data Analyst job openings in Columbia, SC as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $76,453 per year, or $36.8 per hour.

AI/ML Data Contributor

TSMG

Columbia, SC • Remote

Part-time

Re-posted 4 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.