ZipRecruiter

Log In

1

Weekend Python Data Analyst Jobs in South Carolina

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 ...

New

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 ...

next page

Showing results 1-20

People also search for

All JobsPython Data Analyst JobsWeekend Python Data Analyst JobsWeekend Python Data Analyst Jobs in South Carolina

Weekend Python Data Analyst information

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst, and why are they important?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

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

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

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 cities in South Carolina are hiring for Weekend Python Data Analyst jobs? Cities in South Carolina with the most Weekend Python Data Analyst job openings:
Weekend Python Data Analyst jobs near you
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

Social media

Twitter

View All Cynet Systems Jobs