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Python Data Analysis Jobs in Columbia, SC (NOW HIRING)

DetaPent

Junior Data Scientist

Columbia, SC · On-site +1

$60K - $90K/yr

Perform data analysis, generate insights, and identify patterns to support decision-making. Design ... Strong proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy ...

Ourhrconnect

Data Analyst II

Columbia, SC · On-site

Analyzes data for creation of statistical reports used for program or process evaluation ... DB2, SQL, Python, and/or VBA experience. * 4 Years-Research and analysis experience. Our ...

Artefact

Data Consultant - Senior

North, SC

Performing advanced data analysis and rigorous research to solve high-impact, strategic challenges ... Advanced proficiency in Excel and PowerPoint; experience with SQL, Python, or R is a strong ...

Pwc

GenAI Python Systems Engineer-Manager

Columbia, SC

$99K - $232K/yr

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 ...

Pwc

GenAI Python Systems Engineer-Director

Columbia, SC

$155K - $410K/yr

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

Ogletree Deakins

IT DataBase Analyst 2

Columbia, SC · On-site

... data, applying knowledge to evaluation, analysis • Develops appropriate methodologies for ... R, Python or similar software a plus. • Proficient in Azure Data Factory, Azure Fabric, and ...

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How much do python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data analysis in Columbia, SC is $53.04, according to ZipRecruiter salary data. Most workers in this role earn between $43.70 and $60.24 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
More about Python Data Analysis jobs
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:
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What job categories do people searching Python Data Analysis jobs in Columbia, SC look for? The top searched job categories for Python Data Analysis jobs in Columbia, SC are:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Columbia, SC as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 90% Full Time, 3% Part Time, 1% Temporary, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $110,328 per year, or $53 per hour.

Business Analyst - Intermediate - 26-06195

NavitasPartners

West Columbia, SC

Full-time

Posted 2 days ago

Job description

Business Analyst – Intermediate

Location - Columbia, SC

Duration - 12 Months

Job Overview

We are seeking an experienced Business Analyst to support healthcare program operations through advanced data analysis, reporting, and process improvement initiatives. This role will focus on analyzing managed care, grievance and appeals, service authorization, and contract monitoring data to support organizational objectives and leadership decision-making.

The ideal candidate will possess strong analytical skills, experience with healthcare or government data systems, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders.

Key ResponsibilitiesData Analysis & Reporting
  • Conduct detailed data analysis using trend analysis, outlier identification, and standard data exploration techniques
  • Analyze grievance and appeals data for members and providers
  • Evaluate service authorization and dispute datasets to identify trends, risks, and operational opportunities
  • Perform validation and quality checks to ensure data integrity and accuracy
  • Prepare quarterly and annual analytical reports within established timelines
  • Present findings and recommendations to program staff and leadership teams
Process Improvement & Program Support
  • Develop and maintain policies and procedures related to data management, verification, and maintenance
  • Support contract monitoring activities through data-driven analysis
  • Participate in agency-wide initiatives, strategic projects, and continuous improvement efforts
  • Collaborate with cross-functional teams to support implementation and evaluation activities
  • Assist with research, reporting, and operational improvement initiatives
Stakeholder Collaboration
  • Work with internal departments, vendors, healthcare providers, and government agencies
  • Communicate technical findings in a clear and understandable manner
  • Support leadership with actionable insights and reporting
  • Participate in professional development and training opportunities
Required Qualifications
  • Master’s Degree in:
    • Data Science
    • Public Health
    • Statistics
    • Health Informatics
    • Related field
  • Strong knowledge of:
    • Research design
    • Data collection and manipulation
    • Statistical analysis methods
    • Data reporting and visualization
  • Experience with:
    • SAS
    • Excel
    • Python
  • Ability to interpret complex datasets and identify actionable trends
  • Strong written and verbal communication skills
  • Experience working in cross-functional team environments
Preferred Qualifications
  • Experience with federal or state healthcare data systems such as:
    • Medicaid
    • HRSA
    • HHS
    • Census data systems
  • Experience with data visualization and statistical analysis tools
  • Healthcare analytics or managed care experience preferred
Required Skills
  • Data Analysis & Interpretation
  • Trend Analysis & Forecasting
  • Statistical & Mathematical Techniques
  • Data Quality Validation
  • Reporting & Presentation Development
  • SAS
  • Python
  • Advanced Microsoft Excel
  • Healthcare Data Analytics
  • Process Improvement
  • Stakeholder Communication

For more details reach at resumes@navitassols.com