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Weekend Python Data Analyst Jobs in South Carolina

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 ...

Artefact

Sr Data Analyst

North, SC · On-site

$79K - $100K/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 ...

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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Weekend Python Data Analyst information

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 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 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

Data Analyst

SPECTRAFORCE TECHNOLOGIES Inc.

Columbia, SC • On-site

Other

Posted 15 days ago

Job description

Title: Data Analyst III
Location; Columbia, SC (Onsite 3x per week)
Duration: 12 months
Duties:

  • Day to day:
    • There is a development and recurring or operational focus for the analyst.
    • The development work is consultative, customer-facing, and requires understanding I/S business processes.
    • Work involves facilitating meetings, gathering and documenting requirements, interacting with management and multiple teams to complete work, designing and developing a solution, and presenting outcomes to customers.
    • This work requires a technical focus as well as a business perspective and consultative mindset.
    • The recurring or operational work is recurring, repeatable tasks and includes one-time ad-hoc requests.
    • Recurring reports and data entry are well defined and are as automated as possible.
    • Recurring work is reviewed annually at a minimum to ensure it continues to meet business needs.
    • This work requires knowledge of reporting and data tools and communication with customers.
    • The operations focuses on timeliness, accuracy, consistency, and providing the key customer insights and analysis to help with business needs and decisions
  • Creates and analyzes reports to support operations.
  • Ensures correctness of analysis, and reports findings in a concise manner to senior management.
  • Directly responsible for accuracy of data as financial and operational decisions are made based on the data provided.
  • 30% Generates internal and external reports to support management in determining productivity and efficiencies of programs or operational processes.
  • Revises existing reports and develops new reports based on changing methodologies.
  • 30% Analyzes reports to ensure accuracy and quality. Tracks and verifies all reporting statistics.
  • 20% Communicates and trains employees and managers on the complex database programs used to generate analytical data.
  • 20% Designs, codes, and maintains complex database programs for the extraction and analysis of data to support financial and operational decisions.

Required Technologies:

  • Strong SQL knowledge
  • PowerBI
  • Microsoft Excel

Preferred Technologies:

  • Tableau
  • Power Automate
  • Python
  • GitHub
  • MS Access

Required Education:

  • Bachelor''s degree in Statistics, Computer Science, Mathematics, Business, Healthcare, or other related field. Degree Equivalency: 2 year degree in Computer Science, Business or related field and 2 years of reporting and data analysis work experience. OR 4 years reporting and data analysis experience.

Required Work Experience:

  • 4 Years Research and analysis experience.

Preferred Work Experience:

  • 6 Years-Research and analysis experience.

Required Skills and Abilities:

  • Strong organizational, customer service, communications, and analytical skills.
  • Advanced experience using complex mathematical calculations and understand mathematical and statistical concepts.
  • Knowledge of relevant computer support systems.
  • Ability to train subordinate staff including provide assistance/guidance to staff in design/execution of reporting needs.
  • Proven experience with report writing and technical requirements analysis, data and business process modeling/mapping, and methodology development.
  • Strong understanding of relational database structures, theories, principles, and practices.

Required Software and Other Tools:

  • Advanced knowledge of Microsoft Office.
  • Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases.
  • Knowledge of tools such as Visual Basic and Macros useful in automating reporting processes.

Preferred Skills and Abilities:

  • Computer programming skills
  • Negotiation or persuasion skills.
  • Knowledge of ICD9/CPT4 coding.
  • Knowledge of the healthcare delivery system.

Preferred Software and Other Tools:

  • SAS experience.

Work environment:

  • Typical office environment.
  • Some travel between buildings and out of town.

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