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Python Data Analyst Jobs in South Carolina (NOW HIRING)

The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization & Integration ... Participate in troubleshooting, root cause analysis, and production support activities. CrossTeam ...

Python API Engineer

Fort Mill, SC · On-site

$106.10 - $176.90/hr

  • Medical

  • Retirement

  • PTO

Job Overview The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization ... Participate in troubleshooting, root cause analysis, and production support activities.

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Pay Range $45.96hr - $50.96hr Requirement/Must Have: * 1+ years of experience in data analysis, statistical modeling, and ML development using Python (pandas, numpy, scikit-learn, scipy, curve ...

Data Scientist

Greenville, SC · On-site

$45.96 - $50.96/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Pay Range $45.96hr - $50.96hr Requirement/Must Have: 1+ years of experience in data analysis, statistical modeling, and ML development using Python (pandas, numpy, scikit-learn, scipy, curve fitting ...

Data Scientist III - FCRM

Greenville, SC · On-site

$96K - $155K/yr

Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data * Visualizes insights ...

Data Scientist III - FCRM

Lexington, SC · On-site

$96K - $155K/yr

Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data * Visualizes insights ...

GenAI Python Systems Engineer-Manager

Columbia, SC

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

Architect and optimize large-scale ETL/ELT frameworks using Python, PySpark, and SQL * Implement ... AWS Solutions Architect Professional and/or AWS Data Analytics Specialty * Snowflake and/or ...

New

GenAI Python Systems Engineer -Senior Manager

Columbia, SC

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

Showing results 41-60

Python Data Analyst information

See South Carolina salary details

$31.6K

$76.7K

$126.2K

How much do python data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for python data analyst in South Carolina is $76,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $90,000.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are the most commonly searched types of Python Data Analyst jobs in South Carolina?

The most popular types of Python Data Analyst jobs in South Carolina are:

What cities in South Carolina are hiring for Python Data Analyst jobs?

Cities in South Carolina with the most Python Data Analyst job openings:

Infographic showing various Python Data Analyst job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,686 per year, or $36.9 per hour.

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago


LPL Financial rating

7.4

Company rating: 7.4 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

117th of 150 rated financial services


Job description

Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization & Integration organization, responsible for building and supporting scalable cloud-native solutions that enable critical business platforms and enterprise integrations.
This role combines Python development, AWS cloud engineering, API integration, automation, observability, and production support. The engineer will develop and maintain Python-based services and REST APIs, support cloud migration initiatives, implement monitoring and resiliency solutions, and help drive operational excellence across AWS-hosted applications.
The ideal candidate brings strong experience with Python, REST APIs, AWS services (Lambda, API Gateway, CloudWatch), Terraform, CI/CD pipelines, and enterprise application support. Success in this role requires close collaboration with platform, data, security, middleware, and application teams to deliver reliable, secure, and scalable solutions while modernizing legacy capabilities.
Responsibilities
API Engineering & Application Development
  • Design, develop, and maintain Python-based REST APIs that support business-critical workflows.
  • Build APIs using AWS Lambda and Amazon API Gateway, following API-first and REST best practices.
  • Implement clean, testable, and well-documented Python code suitable for enterprise production environments.
  • Optimize API performance, reliability, scalability, and error handling.
  • Ensure proper API versioning, contract stability, and backward compatibility.

Security & Access Management
  • Implement secure authentication and authorization mechanisms such as OAuth2, JWT, and IAM-based access.
  • Enforce API security controls including request validation, throttling, rate limiting, and auditing.
  • Partner with security teams to ensure APIs meet enterprise security and compliance standards.

Automation & Infrastructure Engineering
  • Provision and manage AWS infrastructure using Terraform.
  • Create and maintain reusable Terraform modules for:
    • API Gateway
    • Lambda
    • IAM roles and policies
    • CloudWatch logging and monitoring
  • Ensure environment consistency across DEV, QA, UAT, and PROD.

CI/CD & Operational Excellence
  • Design and maintain CI/CD pipelines for build, test, and deployment of Python APIs.
  • Support automated testing, packaging, versioning, and release management.
  • Implement observability through logging, metrics, alerts, and tracing.
  • Participate in troubleshooting, root cause analysis, and production support activities.

Cross-Team Collaboration
  • Collaborate closely with application teams, platform engineering, cloud, and security teams.
  • Align API design and implementation with enterprise architectural standards.
  • Actively contribute to code reviews, design discussions, and technical documentation.
  • Promote best practices and a culture of engineering excellence.

Strategic Influence
  • Influence API engineering standards, patterns, and best practices across the organization.
  • Contribute to architectural reviews and modernization efforts.
  • Help drive consistent, scalable, and maintainable cloud-native API solutions.

What Are We Looking For?
We are looking for strong collaborators who deliver reliable, secure, and high-quality API solutions in fast-paced, team-oriented environments. Ideal candidates pursue technical excellence, act with integrity, and are motivated to build scalable platforms that enable business growth. We value continuous improvement, curiosity, and individuals who take ownership and pride in their work.
Requirements:
  • Minimum of 7 years of experience in software engineering, cloud application engineering, API engineering, platform engineering, or related technical roles.
  • Hands-on experience with Python development, REST APIs, AWS services (Lambda, API Gateway, CloudWatch, IAM, S3), and Terraform for Infrastructure as Code.
  • Experience developing, validating, supporting, or operating APIs and cloud-native applications in large-scale production environments.
  • Experience with CI/CD pipelines, Git-based workflows, automated testing, and deployment automation tools such as Jenkins or GitHub Actions.
  • Working knowledge of SQL, data validation, data profiling, system integrations, and enterprise application support.

Core Competencies
  • API Design Mindset - builds clean, consistent, and consumer-friendly APIs.
  • Builder Mindset - emphasizes automation, reuse, and simplicity.
  • Systems Thinking - understands how APIs integrate with distributed systems.
  • Collaboration - works effectively across engineering, security, and platform teams.
  • Ownership & Accountability - takes responsibility for design, delivery, and reliability.
  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).

Preferences
  • Strong understanding of application monitoring, observability, logging, alerting, resiliency, and operational support.
  • Experience troubleshooting production issues, conducting root cause analysis, and supporting release and deployment activities.
  • Experience collaborating across application, platform, cloud, security, middleware, and data engineering teams.
  • Financial services, wealth management, or banking industry experience preferred.
  • Strong understanding of authentication, authorization, and secure API design.
  • Experience with OAuth providers and identity platforms.
  • Familiarity with AWS SAM or Serverless Framework (tooling experience).
  • Exposure to event-driven architectures (EventBridge, SNS/SQS).
  • Experience operating APIs in regulated or enterprise environments (financial services preferred).
  • Knowledge of observability tools such as CloudWatch, Dynatrace, Datadog, OpenTelemetry.
  • Experience designing reusable API frameworks or shared libraries.

Pay Range:
$106,100.00 - $176,900.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26

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