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

Pwc

GenAI Python Systems Engineer-Manager

Columbia, SC · On-site

$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 ...

State of South Carolina

Data Scientist

Columbia, SC

Advanced proficiency in R and/or Python for data analysis and modeling. Experience with SQL and relational databases. Experience visualizing/presenting data for stakeholders using: Power BI, DAX ...

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 ...

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 ...

Artefact

Data Consultant - Junior (New)

North, SC

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 ...

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Python Data Analyst information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

How much do python data analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for python data analyst in Columbia, SC is $76,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 per year, depending on experience, location, and employer.

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.

More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Columbia, SC? The most popular types of Python Data Analyst jobs in Columbia, SC are:
What are popular job titles related to Python Data Analyst jobs in Columbia, SC? For Python Data Analyst jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Columbia, SC look for? The top searched job categories for Python Data Analyst jobs in Columbia, SC are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Columbia, SC as of May 2026, with employment types broken down into 3% Internship, 5% As Needed, 71% Full Time, 11% Part Time, 5% Temporary, and 5% Contract. Highlights an 58% Physical, 24% Hybrid, and 18% Remote job distribution, with an average salary of $76,453 per year, or $36.8 per hour.

Business Analyst - Intermediate - 26-06195

NavitasPartners

Columbia, SC

Other

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

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