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Remote Python Analyst Jobs in Greenville, SC (NOW HIRING)

Remote Python Analyst information

See Greenville, SC salary details

$32K

$77.7K

$127.9K

How much do remote python analyst jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote python analyst in Greenville, SC is $77,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $91,200.00 per year, depending on experience, location, and employer.

What is a Remote Python Analyst?

A Remote Python Analyst is a professional who works primarily with the Python programming language to analyze data, automate processes, and develop software solutions, all while working from a remote location. Their responsibilities often include data analysis, scripting, building data pipelines, and creating reports or dashboards. They collaborate with teams virtually and can work for companies in various industries such as finance, healthcare, technology, or consulting. The remote aspect allows for flexibility in work location and often requires strong communication and self-management skills.

How does a Remote Python Analyst typically collaborate with team members across different time zones?

As a Remote Python Analyst, effective collaboration often involves using communication tools such as Slack, Zoom, and project management platforms to stay connected with team members in various locations. You'll likely participate in regular virtual meetings, share code through platforms like GitHub, and provide asynchronous updates to accommodate different time zones. Flexibility and proactive communication are essential for ensuring projects stay on track and that everyone is aligned, despite not working in the same physical space.

What is the difference between Remote Python Analyst vs Data Analyst?

AspectRemote Python AnalystData Analyst
Required SkillsPython programming, data analysis, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data analysis coursesExcel, SQL certifications, Tableau
Work EnvironmentRemote, tech-focused companiesRemote or on-site, various industries
Industry UsageTech, finance, healthcareBusiness, marketing, finance

Remote Python Analysts focus on coding and scripting with Python to analyze data, often in tech-driven industries. Data Analysts use a broader set of tools like Excel and SQL for data interpretation across diverse sectors. While both roles involve data analysis, the Python Analyst emphasizes programming skills, making it ideal for those with coding expertise seeking remote opportunities in specialized fields.

What are the key skills and qualifications needed to thrive as a Remote Python Analyst, and why are they important?

To thrive as a Remote Python Analyst, you need strong programming skills in Python, experience with data analysis, and typically a degree in computer science, statistics, or a related field. Familiarity with technical tools such as Jupyter Notebooks, pandas, NumPy, SQL databases, and data visualization libraries, as well as version control systems like Git, is essential. Excellent problem-solving abilities, self-motivation, and clear communication skills help you excel in a remote environment and effectively collaborate with teams. These skills and qualities enable accurate data-driven insights and ensure productivity while working independently from any location.
What are popular job titles related to Remote Python Analyst jobs in Greenville, SC? For Remote Python Analyst jobs in Greenville, SC, the most frequently searched job titles are:
What job categories do people searching Remote Python Analyst jobs in Greenville, SC look for? The top searched job categories for Remote Python Analyst jobs in Greenville, SC are:
Infographic showing various Remote Python Analyst job openings in Greenville, SC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $77,706 per year, or $37.4 per hour.

Lead AI Engineer, Business Operations (Hybrid or Remote)

Afl Telecommunications Llc

Duncan, SC • On-site, Remote

$94K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.

What We Offer:

  • Flexible time off policy
  • 401K Company match (up to 4% — dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advancement with an industry leading company!

We are seeking a Lead AI Engineer to join our Business Operations team. This position may be able to work remotely from anywhere within the United States.

The Lead AI Engineer is a senior technical leader on AFL's AI Enablement team, responsible for defining the architecture, standards, and delivery approach for agentic AI solutions that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will establish the technical foundation the team builds on, including model selection and management, deployment posture, orchestration patterns, evaluation and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing the team to stay focused on design, delivery, and maintenance of future solutions.

Responsibilities:

Key responsibilities/essential functions include:

Architecture & Technical Foundation

  • Establishes the architectural patterns, evaluation practices, and deployment standards for the team
  • Makes framework and model recommendations that set the foundation for the team. Will evaluate orchestration frameworks, select deployment patterns, train and fine-tune models, and determine where managed platforms end and custom build begins

Solution Design & Delivery

  • Collaborates with the AI Enablement Manager and business unit to optimize operational processes, owning the infrastructure architecture and translating strategic direction into technical plans, product life cycles, a prioritized backlog, and buildable work
  • Owns solutions end-to-end: technical planning, architecture, build, and deployment, then continuously monitors, iterates, and improves them to keep them reliable in production

Production Reliability

  • Builds and continuously maintains the monitoring, evaluation, and regression detection systems that keep production agents reliable over time, including logging, performance benchmarking, and feedback loops that surface drift early

Governance & Collaboration

  • Partners with data governance to ensure solutions meet compliance, data quality, and operational standards

Personal Qualities:

  • Innovative and tech-savvy, with deep curiosity about emerging AI capabilities and how to apply them
  • Analytical and detail-oriented, with a strong architectural mindset
  • Collaborative and communicative, able to translate complex technical concepts for non-technical stakeholders
  • Self-directed and accountable, able to set technical direction and drive execution independently

Qualifications:

  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 5+ years of software engineering and architecture experience with a strong full-stack foundation — backend services, API design, system integration, and data infrastructure
  • Recent hands-on experience architecting and delivering AI or LLM-backed systems in production
  • Experience architecting solutions from scratch and owning them through deployment, observability, testing, and ongoing reliability
  • Experience with AI development practices — model selection, fine-tuning, prompt engineering, evaluation frameworks, and understanding when each approach is the right fit
  • Proficiency in Python; experience with cloud platforms
  • Experience mentoring engineers and setting technical direction across multiple initiatives
  • Strong communication skills with both technical and non-technical stakeholders

Working Conditions:

  • Environment: Remote work environment (US-based).
  • Travel: Occasional travel (domestic) as needed.