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Part Time Remote Data Analyst Jobs in Fort Mill, SC

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Conduct comprehensive Financial Needs Analyses * Educate clients on retirement planning, life ... Your availability and interest in either a part-time or full-time schedule Applications without a ...

Conduct comprehensive needs analysis and present suitable life insurance solutions to clients ... Our part-time agents who follow our system make approximately $30k-60k in their first year * Our ...

Biostatistician

Charlotte, NC · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Remote Project Manager

Charlotte, NC · On-site +1

$135K - $150K/yr

Both full-time and part-time opportunities are available, with flexible hybrid work options ... Strong analytical and problem-solving abilities. * Proficiency with common project management ...

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Part Time Remote Data Analyst information

See Fort Mill, SC salary details

$29.9K

$72.6K

$119.5K

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

As of Aug 10, 2026, the average yearly pay for part time remote data analyst in Fort Mill, SC is $72,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $85,200.00 per year, depending on experience, location, and employer.

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.

Is it still worth it to become a part time remote data analyst in 2026?

Part time remote data analyst roles remain valuable in 2026 due to ongoing demand for data-driven decision making across industries. Success in this role often requires proficiency in tools like Excel, SQL, and data visualization software, along with strong analytical skills. The position offers flexibility and opportunities for skill development, making it a worthwhile option for those interested in data analysis careers.

What is a part time remote data analyst?

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 as a part time remote data analyst?

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.

What are popular job titles related to Part Time Remote Data Analyst jobs in Fort Mill, SC? For Part Time Remote Data Analyst jobs in Fort Mill, SC, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Analyst jobs in Fort Mill, SC look for? The top searched job categories for Part Time Remote Data Analyst jobs in Fort Mill, SC are:
What cities near Fort Mill, SC are hiring for Part Time Remote Data Analyst jobs? Cities near Fort Mill, SC with the most Part Time Remote Data Analyst job openings:
Infographic showing various Part Time Remote Data Analyst job openings in Fort Mill, SC as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $72,620 per year, or $34.9 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Charlotte, NC • Remote

$90 - $120/hr

Part-time

Posted 13 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.