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

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 ...

New

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 ...

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 ...

Junior Data Analyst

Columbia, SC · On-site

$57.78K/yr

Works closely with the Senior Director and team members to understand the needs of the organization ... analyze constituent data using their broad knowledge base of various database data types. Some ...

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 ...

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 ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... As a Senior Manager, you will serve as a strategic advisor, leveraging your knowledge to guide ...

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Showing results 1-20

Senior Python Data Analyst information

See Columbia, SC salary details

$50.9K

$91.8K

$125.4K

How much do senior python data analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for senior python data analyst in Columbia, SC is $91,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,600.00 and $100,400.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What cities near Columbia, SC are hiring for Senior Python Data Analyst jobs? Cities near Columbia, SC with the most Senior Python Data Analyst job openings:
Medicaid Data Analyst

Medicaid Data Analyst

CYNET SYSTEMS

Columbia, SC • On-site

$27 - $32/hr

Contractor

Posted 2 days ago


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.

Cynet Systems logo

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

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