ZipRecruiter

Log In

2

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

All JobsPython Analyst JobsRemote Python Analyst JobsRemote Python Analyst Jobs in Greenville, SC

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 Jul 13, 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:
Remote Python Analyst jobs near you

Senior Analytics Engineer

Turnbridge Technical Solutions

Greenville, SC • On-site, Remote

Full-time

Medical, Retirement

Re-posted 5 hours ago

Job description

Senior Analytics Engineer

Location: Greenville, SC or Remote (EST preferred)

Employment Type: Full-Time


About TURNBRIDGE

TURNBRIDGE is a technical solutions and talent delivery firm built on precision, speed, and accountability. We specialize in connecting high-performing technologists with complex, high-impact initiatives—delivering fast shortlists, fewer interviews, and start-date certainty. Our teams work on meaningful challenges where data, engineering, and strategy intersect to drive real business outcomes.


Role Overview

TURNBRIDGE is seeking a Senior Analytics Engineer to join our analytics practice and play a critical role in designing and delivering scalable, enterprise-grade data solutions. This role serves as a key technical partner to stakeholders across Sales, Finance, and Operations, transforming complex datasets into trusted, actionable insights that improve efficiency, profitability, and strategic decision-making.

You’ll work across the full business lifecycle—financial performance, revenue and pricing, demand forecasting, inventory management, and operational execution—while collaborating closely with analytics, BI, and cross-functional teams to embed analytics into core business processes.

What You’ll Do

  • Lead the design, development, and optimization of scalable data pipelines and analytical frameworks across financial, logistics, and sales domains
  • Develop and optimize advanced SQL queries and Python scripts to support complex data extraction, transformation, and analysis
  • Design and maintain end-to-end data ingestion workflows, integrating internal and third-party data sources using APIs and modern ELT/ETL practices
  • Build, manage, and continuously improve enterprise dashboards and reporting solutions using Tableau, Power BI, Databricks, or comparable platforms
  • Own and manage data workflows within Databricks, including notebooks, Delta Lake, Spark SQL, and job orchestration
  • Serve as a technical subject matter expert and mentor to junior and mid-level analysts
  • Partner with business stakeholders to define KPIs, translate strategic requirements into analytical solutions, and present insights to leadership
  • Establish and enforce data quality standards, documentation practices, and governance policies across datasets and reporting layers
  • Proactively identify opportunities to improve data infrastructure, reporting efficiency, and overall analytics maturity

What You Bring

Required Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field—or equivalent practical experience
  • 3–5 years of experience in analytics engineering, data engineering, or a related discipline
  • Hands-on experience with APIs, data ingestion processes, and ELT/ETL pipelines
  • Experience building dashboards and reports using BI tools such as Tableau or Power BI
  • Experience working with business data across financial, sales, and/or operational domains

Technical Skills

  • Strong proficiency in SQL and Python for analytics and data engineering
  • Experience with modern data platforms such as Databricks, including Spark SQL and Delta Lake
  • Solid understanding of data modeling concepts, including star and snowflake schemas and dimensional modeling
  • Experience with BI tools and data visualization best practices
  • Familiarity with version control and deployment workflows (e.g., Git, CI/CD pipelines)

Professional Skills

  • Strong analytical and problem-solving abilities with exceptional attention to detail
  • Ability to translate business requirements into scalable data solutions and actionable insights
  • Clear, effective communicator able to collaborate with both technical and non-technical stakeholders
  • Highly organized with the ability to manage multiple priorities and meet deadlines
  • Self-directed, accountable, and comfortable working independently within a collaborative team environment

Why TURNBRIDGE

  • Precision-Driven Delivery – Work in an environment focused on quality, clarity, and measurable outcomes
  • High-Impact Work – Contribute to initiatives that directly influence business performance and strategy
  • Growth-Oriented Culture – Opportunities to expand your technical depth and leadership impact
  • Competitive Compensation & Benefits – Including health and wellness programs, generous time off, financial planning resources, and a strong 401(k) match
  • Long-Term Partnership Mindset – We invest in people, not just placements