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Entry Level Python Data Analysis Jobs in Greenville, SC

CYNET SYSTEMS

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Pay Range $45.96hr - $50.96hr Requirement/Must Have: * 1+ years of experience in data analysis, statistical modeling, and ML development using Python (pandas, numpy, scikit-learn, scipy, curve ...

CYNET SYSTEMS

Data Scientist

Greenville, SC · On-site

$45.96 - $50.96/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Pay Range $45.96hr - $50.96hr Requirement/Must Have: 1+ years of experience in data analysis, statistical modeling, and ML development using Python (pandas, numpy, scikit-learn, scipy, curve fitting ...

Varsity Tutors

Data Science Tutor

Greenville, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Through advanced analytics and technology, we can more accurately predict credit risk and provide ... This posting is to enter our campus recruiting and entry-level process for position offers being ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Through advanced analytics and technology, we can more accurately predict credit risk and provide ... This posting is to enter our campus recruiting and entry-level process for position offers being ...

Global Lending Services

Business Analyst

Greenville, SC · On-site

***This posting is to enter our campus recruiting and entry-level process for position offers being ... Business Analysts apply their data analytics and business acumen to support data-driven business ...

Global Lending Services

Business Analyst

Greenville, SC · On-site

***This posting is to enter our campus recruiting and entry-level process for position offers being ... Business Analysts apply their data analytics and business acumen to support data-driven business ...

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All JobsPython Data Analysis JobsEntry Level Python Data Analysis JobsEntry Level Python Data Analysis Jobs in Greenville, SC

Entry Level Python Data Analysis information

See Greenville, SC salary details

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How much do entry level python data analysis jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level python data analysis in Greenville, SC is $30.96, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $34.57 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Greenville, SC?

The most popular types of Python Data Analysis jobs in Greenville, SC are:

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For Entry Level Python Data Analysis jobs in Greenville, SC, the most frequently searched job titles are:

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What cities near Greenville, SC are hiring for Entry Level Python Data Analysis jobs?

Cities near Greenville, SC with the most Entry Level Python Data Analysis job openings:

Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Greenville, SC as of June 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $64,398 per year, or $31 per hour.

Data & Analytics Developer

West Coast Logistics

Greenville, SC

$47 - $53/hr

Contractor

Posted 18 days ago

Job description

CLIENT HIGHLIGHT
The client you'll be supporting is a Fortune 500 global leader in energy technology, focused on helping the world produce cleaner, more reliable power. Their teams design and improve the systems that keep homes, businesses, and communities running, from gas and wind turbines to the electrical grids that connect them. This is a chance to be part of a company that's driving innovation, supporting sustainability, and shaping the future of energy.

LOCATION
Greenville, South Carolina, 29615

COMPENSATION
$47-53 per hour, full benefits offered

SCHEDULE
Hybrid; local candidates
Standard Hours: 40 hours per week

CONTRACT TERM
1 year with high likelihood of extension or conversion

POSITION OVERVIEW
The Data & Analytics (D&A) Developer II / Data Scientist supports the HDPE Operations & Strategy team, serving as the bridge between engineering domain knowledge, business operations, and IT execution. This role defines data requirements, builds AI/ML and scenario-planning models, and delivers harmonized insights and reporting to business stakeholders worldwide. Responsibilities: Analyze data across enterprise systems (SAP, Salesforce, Databricks, Power BI); develop and validate machine learning models for forecasting and scenario planning; build and maintain Python-based data pipelines; track project execution through P6 and other project systems; reverse-engineer existing dashboards and SQL logic; and translate technical findings into actionable business insights.

RESPONSIBILITIES
Data Analysis & Intelligence
  • Analyze data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor and finance systems) to identify patterns, gaps, and improvement opportunities
  • Work with Program Managers and Operations leaders to define relevant data assets and specify how data should be accessed, interpreted, and used
  • Transform large structured/unstructured datasets (100k+ rows) into actionable insights
  • Conduct data quality checks and resolve data defects across enterprise platforms
AI/ML Model Development & Deployment
  • Develop and validate machine learning models supporting demand forecasting and scenario modeling
  • Document analytical findings, model performance, and data definitions for transparency and reproducibility
  • Build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows in collaboration with Data Engineers
  • Translate business data challenges into concrete data science and AI/ML problem statements
  • Leverage LLMs and prompt engineering to build tools that augment decision-making and automate workflows
Scenario Planning & Project Execution Analytics
  • Design and execute scenario planning models to test business assumptions and evaluate what-if outcomes
  • Track project execution data across P6 (Primavera) and other systems, linking planning assumptions to actual performance
  • Support variance analysis between planned assumptions and actual execution to identify gaps and trends
  • Build automated tracking solutions monitoring assumption validity through project lifecycle stages
  • Collaborate with Program Managers to refine planning assumptions based on execution learnings
  • Provide data pipelines and data to build executive dashboards visualizing assumption-to-execution alignment
Existing Data Ecosystem & Optimization
  • Review existing dashboards, models, and data pipelines to understand design patterns and data flows
  • Read and interpret SQL queries and business logic embedded in current reports and analytical systems
  • Identify opportunities to optimize or consolidate existing reporting and modeling assets
  • Maintain consistency with established data standards and best practices
Business Stakeholder Collaboration & Continuous Improvement
  • Translate complex data findings and model outputs into clear, actionable insights for technical and non-technical audiences
  • Support centralized, KPI-based reporting solutions for business stakeholders across global business lines
  • Collaborate with Data Analysts and Data Engineers to ensure data requirements are implemented correctly at the pipeline and infrastructure level
  • Stay current with AI, ML, and data science advancements, proposing new approaches to enhance solutions
REQUIREMENTS
  • Bachelor's degree in Data Science, Computer Science, Engineering, or related field.
  • Strong proficiency in Python (pandas, numpy, scikit-learn, scipy) and SQL.
  • Experience with statistical modeling, scenario/what-if analysis, and model validation.
  • Familiarity with enterprise data systems (SAP, Salesforce, Databricks) and LLM/prompt engineering concepts.
  • Strong communication skills and ability to work across international, multicultural teams.