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Remote Python Analyst Jobs in South Carolina (NOW HIRING)

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge of Python scripting language required for automation of GIS tasks * Processing and ...

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge of Python scripting language required for automation of GIS tasks * Processing and ...

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge of Python scripting language required for automation of GIS tasks * Processing and ...

$69K - $158K/yr

Remote Work: No Job Number: R0243640 Location: Langley AFB,VA,US Share job via: Share Operations ... Experience with R, Python, SQL, or software programs that analyze data * Experience collaborating ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

Remote /hybrid flexibility. Position Overview We are seeking a highly capable Data Engineer to ... Develop Python-based ingestion and transformation processes. * Support orchestration and storage ...

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Showing results 1-20

Remote Python Analyst information

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 South Carolina? For Remote Python Analyst jobs in South Carolina, the most frequently searched job titles are:
What cities in South Carolina are hiring for Remote Python Analyst jobs? Cities in South Carolina with the most Remote Python Analyst job openings:
Infographic showing various Remote Python Analyst job openings in South Carolina as of July 2026, with employment types broken down into 67% Full Time, 9% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.

Geospatial Analyst

Lynker Corporation

Charleston, SC • On-site, Remote

$55K - $72K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Overview
Seeking a Geospatial Analyst to support the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (OCM) by performing processing, quality assurance, documentation, and management of remote sensing and geospatial data and services. The ideal Geospatial Analyst will be located in the Charleston, SC area and will be able to work in a hybrid capacity.
The successful candidate will serve as a geospatial analyst in OCM's Science and Geospatial Services Division supporting NOAA's Coastal Change Analysis Program (C-CAP) activities. The position will be focused primarily on land cover data production, quality assurance reviews, and analyses but may also include work with imagery, Lidar data, and Digital Elevation Models. This role is contingent upon contract award.
Responsibilities
Core responsibilities of the Geospatial Analyst will include, but are not limited to:
  • Quality assurance of land cover datasets at multiple resolutions
  • Assisting with direct land cover data classification and development using multiple sources of input data
  • Compiling, processing, and analyzing a variety of data types, including imagery, elevation, and/or other geographic based ancillary data, in both raster and vector formats
  • Possible produce derived products, such as maps, statistics, and other information.
  • Works as part of a team and independently to achieve day-to-day objectives and operational results for project deliverables.
  • Responsible for major project components or processes, including managing complex, automated tasks; assisting with publishing and managing map services; writing metadata records; and the development of derivative products (ex. Storymaps, web apps, etc.)

Qualifications
The Geospatial Analyst should have the following:
  • Master's degree with two plus years of related experience in geography, remote sensing, GIS, or related field OR a Bachelor's degree with six plus years of related experience
  • Some experience or general knowledge of land cover mapping methods, elevation data, orthoimagery analysis, and change detection
  • Some experience or general knowledge with both raster and vector-based datasets on desktop and web-based platforms
  • Some experience or general knowledge of geospatial analysis tools such as (or similar to) ArcGIS Pro, Erdas Imagine, QGIS, Global Mapper, Trimble eCognition, FeatureAnalyst, etc.
  • Strong communication and organizational skills and excellent interpersonal skills
  • Self-starter with ability to work in a small team environment without direct day-to-day supervision
  • Ability to follow standard operating procedures and guidance documentation

The ideal Geospatial Analyst will have the following:
  • Knowledge or experience related to land cover classification using machine learning or more advanced deep learning artificial intelligence
  • Knowledge or experience with wetland mapping
  • Knowledge of Python scripting language required for automation of GIS tasks
  • Processing and managing data and map services in the cloud
  • Knowledge of coastal management and coastal processes
  • Knowledge of coastal hazards and inundation mapping

About Lynker
Lynker is a growing, employee owned, small business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.
Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.