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Python Data Analyst Jobs in South Carolina (NOW HIRING)

CYNET SYSTEMS

Medicaid Data Analyst

Columbia, SC · On-site

$27 - $32/hr

SAS, Excel, and Python. * Data visualization and reporting tools. * Trend analysis and forecasting. * Data quality validation. * Healthcare or Medicaid data systems (preferred). * Communication and ...

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Artefact

Sr Data Analyst

North, SC

$79.80K - $100.70K/yr

Actively contribute to the expertise and competencies of the Data & Analytics team and work closely ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Lynker is seeking a sharp Geospatial Data Analyst to join our team. This role is contingent upon ... Experience with Python, and libraries such as Pandas and Plotly * Experience with MapBox, AzureMaps ...

Ourhrconnect

Data Analyst II

Columbia, SC

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

Jr Data Analyst - (Canada-based)

North, SC

Actively contribute to the expertise and competencies of the Data & Analytics team and work closely ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

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Python Data Analyst information

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$31.6K

$76.7K

$126.2K

How much do python data analyst jobs pay per year?

As of May 29, 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?

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 South Carolina? The most popular types of Python Data Analyst jobs in South Carolina are:
What are popular job titles related to Python Data Analyst jobs in South Carolina? For Python Data Analyst jobs in South Carolina, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in South Carolina look for? The top searched job categories for 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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in South Carolina as of May 2026, with employment types broken down into 4% As Needed, 70% Full Time, 16% Part Time, 4% Temporary, 4% Contract, and 2% Nights. Highlights an 57% Physical, 26% Hybrid, and 17% Remote job distribution, with an average salary of $76,686 per year, or $36.9 per hour.
Medicaid Data Analyst

Medicaid Data Analyst

CYNET SYSTEMS

Columbia, SC • On-site

$27 - $32/hr

Contractor

Posted yesterday

Job description

Job Overview:
 
Pay Range: $27.50hr - $32.50hr
  • The Medicaid Data Analyst will be responsible for conducting data analysis on program-specific and contract monitoring datasets using standard statistical and data exploration techniques. 
  • The role involves identifying trends, outliers, and ensuring data quality while communicating findings and insights to program staff and leadership. 
  • The position also supports reporting, policy development, and process improvement initiatives within managed care and Medicaid-related programs.

Requirement/Must Have:

  • Strong knowledge of research design, data collection, data manipulation, and data analysis techniques.
  • Experience analyzing and interpreting complex datasets using statistical methods.
  • Ability to identify trends, patterns, and anomalies in healthcare or program data.
  • Strong reporting and data presentation skills.
  • Ability to maintain effective working relationships with stakeholders and cross-functional teams.
  • Strong communication skills for explaining technical findings to non-technical audiences.
  • Ability to learn and adapt to new tools and analytical methods.

Experience:

  • Experience working with data analysis in healthcare, public health, or government programs preferred.
  • Experience with Medicaid, federal, or state health data systems preferred.
  • Experience working in cross-functional team environments.
  • Experience in reporting and analytics for program monitoring and evaluation.

Responsibilities:

  • Conduct data analysis on program-specific projects using standard data exploration techniques including trend analysis and outlier identification.
  • Ensure data quality through verification and validation of outlying data points.
  • Analyze grievance and appeals data, service authorization data, and dispute datasets.
  • Produce quarterly and annual reports and ensure timely dissemination of findings to leadership.
  • Develop and maintain policies and procedures for data management, verification, and maintenance.
  • Analyze contract monitoring datasets and ensure data accuracy and consistency.
  • Communicate data analysis methods, logic models, and results to program staff and leadership.
  • Support process improvement initiatives and agency-wide strategic objectives.
  • Participate in professional development and apply new skills to improve analytical effectiveness.
  • Collaborate with internal and external stakeholders including vendors, government agencies, and providers.
  • Support additional project-related analytical tasks as assigned.

Should Have:

  • Strong analytical thinking and problem-solving skills.
  • Ability to work independently and in cross-functional teams.
  • Strong attention to detail and data validation skills.
  • Ability to manage multiple reporting deadlines effectively.

Skills:

  • Data analysis and statistical techniques.
  • SAS, Excel, and Python.
  • Data visualization and reporting tools.
  • Trend analysis and forecasting.
  • Data quality validation.
  • Healthcare or Medicaid data systems (preferred).
  • Communication and stakeholder management.

Qualification And Education:

  • Master’s degree in Data Science, Public Health, Statistics, Health Informatics, or related field required.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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