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Contract Python Data Analysis Jobs in Columbia, SC

GreenGas

Logistics Engineer

Lugoff, SC · On-site

$90 - $130/hr

Freight Data Analytics: Extract, clean, and interpret massive freight datasets using SQL, Python, or Excel to identify transit bottlenecks and fuel inefficiencies. * Dashboard Development: Build and ...

New

Mobius Renewables

Logistics Engineer

Lugoff, SC · On-site

Freight Data Analytics: Extract, clean, and interpret massive freight datasets using SQL, Python, or Excel to identify transit bottlenecks and fuel inefficiencies. * Dashboard Development: Build and ...

GGH Services LLC

Logistics Engineer

Lugoff, SC · On-site

$90 - $130/hr

Freight Data Analytics:Extract, clean, and interpret massive freight datasets using SQL, Python, or Excel to identify transit bottlenecks and fuel inefficiencies. * Dashboard Development:Build and ...

New

GreenGasUSA Holdings, LLC

Logistics Engineer

Lugoff, SC · On-site

$95 - $135/hr

Freight Data Analytics:Extract, clean, and interpret massive freight datasets using SQL, Python, or Excel to identify transit bottlenecks and fuel inefficiencies. * Dashboard Development:Build and ...

New

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All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Columbia, SC

Contract Python Data Analysis information

See Columbia, SC salary details

$12

$54

$79

How much do contract python data analysis jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for contract python data analysis in Columbia, SC is $54.23, according to ZipRecruiter salary data. Most workers in this role earn between $44.71 and $61.59 per hour, depending on experience, location, and employer.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Columbia, SC?

The most popular types of Python Data Analysis jobs in Columbia, SC are:

What are popular job titles related to Contract Python Data Analysis jobs in Columbia, SC?

For Contract Python Data Analysis jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Columbia, SC look for?

The top searched job categories for Contract Python Data Analysis jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Contract Python Data Analysis jobs?

Cities near Columbia, SC with the most Contract Python Data Analysis job openings:

Contract Python Data Analysis jobs near you
Infographic showing various Contract Python Data Analysis job openings in Columbia, SC 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 $112,804 per year, or $54.2 per hour.

Logistics Engineer

GreenGas

Lugoff, SC • On-site

$90 - $130/hr

Other

Posted 2 days ago

New

Job description

At Mobius Renewables, we’re helping lead the global energy transition by transforming waste into renewable energy and measurable decarbonization. We’re a fast-growing team of expert innovators, engineers, and problem-solvers committed to advancing global sustainability, fueling a circular economy, and creating a cleaner future for all. Join us and help shape the future of renewable energy.

Position Summary

We are seeking a data-driven and analytical Trucking Logistics Engineer to design and optimize our regional and national freight transportation networks. In this role, you will be responsible for evaluating lane performance, identifying cost‑saving opportunities, and utilizing advanced Transportation Management Systems (TMS) to build predictive routing models. You will work closely with fleet operations, safety compliance, and dispatch teams to ensure maximum asset utilization and superior on‑time delivery performance.

Key Responsibilities
  • Network Optimization: Design and implement mathematical models to evaluate lane profitability, backhaul opportunities, and multi‑stop route patterns.
  • Freight Data Analytics: Extract, clean, and interpret massive freight datasets using SQL, Python, or Excel to identify transit bottlenecks and fuel inefficiencies.
  • Dashboard Development: Build and maintain interactive performance tracking dashboards using Tableau or Power BI to visualize key metrics like cost‑per‑mile, empty miles, and driver utilization.
  • Capacity Planning: Forecast seasonal freight volumes and align asset availability (tractors, trailers, and drivers) with regional demand fluctuations.
  • Technology Integration: Serve as the technical administrator or super‑user for the corporate Transportation Management System (TMS) and driver telematics hardware.
  • Process Improvement: Apply Lean Six Sigma methodologies to eliminate operational waste in terminal operations, cross‑docking facilities, and driver drop‑and‑hook workflows.
  • Vendor & Carrier Management: Collaborate with third‑party logistics (3PL) providers and owner‑operators to negotiate freight spot rates and scale capacity when needed.
Qualifications
  • Education: Bachelor’s degree in Industrial Engineering, Supply Chain Management, Logistics, Operations Research, or a highly quantitative field.
  • Experience: 3+ years of experience in transportation engineering, fleet logistics, or freight network analytics.
  • Hazardous Materials: Hazmat certification and/or experience.
  • Technical Software: High proficiency with leading TMS platforms (e.g., SAP TM, Oracle OTM, Blue Yonder) and routing optimization tools.
  • Data Tools: Advanced skills in SQL querying, Python/R programming for data analysis, and Microsoft Excel (macros, pivot tables).
  • Industry Knowledge: Deep understanding of Department of Transportation (DOT) Hours of Service (HOS) regulations, ELD compliance, CSA scoring system, and asset‑based trucking constraints.
  • Problem‑Solving: Strong root‑cause analysis skills with a proven track record of reducing freight cost‑per‑mile or increasing trailer utilization.
Preferred Skills
  • Master’s degree in Industrial Engineering or Supply Chain Management.
  • Certified in Transportation and Logistics (CTL) or Lean Six Sigma Green/Black Belt.
  • Prior experience managing a private or dedicated commercial fleet.
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