1

Freelance Python Data Analysis Jobs in Columbia, SC

Data Science Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Analyzing data using tools such as Excel, SQL, Python, or R to surface trends, patterns, and actionable insights * Translating complex data findings into clear, compelling narratives for both ...

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

Work closely with data architects, analysts, and other stakeholders to understand business ... in SQL, Python, and big data technologies. * Experience with cloud services such as Azure Data ...

Translate marketing and business challenges into analytical use cases, assess feasibility, and ... Proficient in Python (preferred) and/or R Preferred: * Financial sector experience. * Preference in ...

Junior Consultant - US

North, SC

$24.50 - $33/hr

Analyzing data using statistical techniques and tools, such as Excel, SQL, and R or Python * Interpreting and presenting data insights to clients in clear, easy-to-understand language * Collaborating ...

Junior Consultant - US

North, SC · On-site

$24.50 - $33/hr

Analyzing data using statistical techniques and tools, such as Excel, SQL, and R or Python * Interpreting and presenting data insights to clients in clear, easy-to-understand language * Collaborating ...

Data Quality Engineer, AI Business

North, SC

$106K - $127K/yr

... analytics engineering, trust and integrity, or ML/LLM evaluation operations. * Strong proficiency in Python and SQL, with comfort applying statistical concepts such as sampling strategies, confidence ...

next page

Showing results 1-20

Freelance Python Data Analysis information

See Columbia, SC salary details

$12

$54

$79

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

As of Jun 28, 2026, the average hourly pay for freelance 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 freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
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 Freelance Python Data Analysis jobs in Columbia, SC? For Freelance Python Data Analysis jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Columbia, SC look for? The top searched job categories for Freelance Python Data Analysis jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Freelance Python Data Analysis jobs? Cities near Columbia, SC with the most Freelance Python Data Analysis job openings:
Infographic showing various Freelance Python Data Analysis job openings in Columbia, SC as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $112,804 per year, or $54.2 per hour.

Specialist, Field Monitoring - Technical Field Data

Scout Motors

Blythewood, SC

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

What you'll do

As a Field Monitoring Quality Specialist, you will act as a strategic partner, diving deep into vehicle and field data to identify issues that may impact customer experience and vehicle performance. Your insights will enable early detection and proactive resolution of potential concerns, helping improve product quality while strengthening customer trust and brand reputation

"In this critical role, you will help, design and implement solutions to monitor and integrate data from diverse communication channels including customer surveys, social platforms, and connected vehicle telemetry to create a comprehensive view of field performance". We are looking for someone who thrives in complex, high-volume data environments and can uncover meaningful insights from ambiguity.

Partnering closely with engineering teams, you will play a key role in identifying product issues, guiding investigations, and ensuring teams focus on the most critical data to accelerate resolution and protect both our customers and brand reputation. Your work will have a direct impact on product development, system engineering, and the resolution of complex warranty and quality issues across our vehicle portfolio.

Customer Insight & Voice of Customer (VoC)

  • Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineering
  • Design and implement customer surveys and feedback frameworks to assess product satisfaction
  • Analyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trends

Field Issue Detection & Resolution

  • Support end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected features
  • Identify patterns in fleet data to enable early detection of emerging quality issues
  • Drive faster resolution through data-driven insights and cross-functional collaboration

Data Strategy & Analytics:

  • Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle data
  • Partner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirements
  • Perform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issues

AI/ML & Advanced Analytics

  • Develop and deploy AI/ML models for:
    • Anomaly detection
    • Failure prediction
    • Sentiment analysis

Leverage analytics to improve customer satisfaction, reliability, and warranty performance

Data Management & Integration

  • Act as the bridge between software-defined vehicle data policies and real-world engineering insights
  • Ensure data pipelines are robust, accurate, and actionable
  • Enable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceability

Cross-Functional Collaboration

  • Work closely with:
    • Vehicle engineering (hardware & software)
    • Connected vehicle and app development teams
    • Service, warranty, and customer support organizations
  • Enhance data collection capabilities, user interfaces, and reporting standards across systems

Location & Travel Expectations:

  • This role will be based out of the Scout Motors location in Blythewood, South Carolina.
  • This role requires In-Person Attendance: Daily / Mutually agreed with Manager
  • Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
What you'll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You'll be comfortable with change and flexible in a fast-paced, high-growth environment. You'll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

  • Education/Certifications: A bachelor's degree in engineering, computer science and/or data science.
  • Years of Experience: 5+ years in an environment related to technical data processing, preferably within a vehicle manufacturer or supplier environment. Relevant experience in other sectors will also be considered.
  • Experience in automotive engineering, quality, or field issue analysis, ideally in EV or connected vehicle environments
  • Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, cloud platforms)
  • Experience in running Java Script, Python, SQL, HTML/CSS
  • Experience in deploying AI-based solutions and tools for data processing. Ability to build full-scale AI-powered products from scratch using available open AI
  • Familiarity with AI/ML concepts and applications in anomaly detection or predictive analytics
  • Understand data warehouse systems like Basic AWS or Azure data services or Databricks. Ability to support enterprise projects on as need basis.
  • Strong understanding of vehicle systems (powertrain, battery, diagnostics, telematics)
  • Ability to work across functions and translate data insights into engineering actions
  • Experience working with customer feedback systems and VoC analytics
  • Experience with PBI and PowerApps, building app own-made solutions for data analytics.
  • Strong interpersonal skills, with experience working in multicultural and team-oriented environments.
What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting - with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

  • Competitive insurance including:
    • Medical, dental, vision and income protection plans
  • 401(k) program with:
    • An employer match and immediate vesting
  • Generous Paid Time Off including:
    • 20 days planned PTO, as accrued
    • 40 hours of unplanned PTO and 14 company or floating holidays, annually
    • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
    • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $95,000.00 - $120,000.00

Internal Leveling Code: IC9