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Contract Python Data Analysis Jobs in Columbia, SC

CYNET SYSTEMS

Medicaid Data Analyst

Columbia, SC · On-site

$27 - $32/hr

... conducting data analysis on program-specific and contract monitoring datasets using standard ... SAS, Excel, and Python. * Data visualization and reporting tools. * Trend analysis and forecasting.

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Varsity Tutors

Data Analysis Tutor

Columbia, SC · Remote

$40/hr

What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Innosoul inc

Business Analyst

Columbia, SC

SC-11200 Onsite/Local Healthcare BA with Medicaid/HRSA/HHS/Census, Data Analysis, SAS/Excel/Python ... The work also includes learning and remaining familiar with the MCO Contract, Report Companion ...

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Contract Python Data Analysis information

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$79

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

As of May 30, 2026, the average hourly pay for contract 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 are the key skills and qualifications needed to thrive as a Contract Python Data Analyst, and why are they important?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python Data Analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are Contract Python Data Analysis jobs?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

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 Contract Python Data Analysis jobs in Columbia, SC? For Contract Python Data Analysis jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in Columbia, SC look for? The top searched job categories for Contract Python Data Analysis jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Contract Python Data Analysis jobs? Cities near Columbia, SC with the most Contract Python Data Analysis job openings:
Contract Python Data Analysis jobs near you
Infographic showing various Contract Python Data Analysis job openings in Columbia, SC as of May 2026, with employment types broken down into 2% Internship, 4% As Needed, 86% Full Time, 4% Part Time, and 4% Contract. Highlights an 43% Physical, 14% Hybrid, and 43% Remote job distribution, with an average salary of $112,804 per year, or $54.2 per hour.
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.
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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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