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Entry Level Python Data Analysis Jobs in Greenville, SC

AFL

Process Engineer - Data Analytics

Duncan, SC · On-site

Python experience preferred (data analysis, automation, or tool development) * Ability to operate effectively in a fast-changing, low-structure environment * Strong problem-solving skills with a ...

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

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 ...

Purpose Financial

Data Engineer

Greenville, SC · On-site

$107K - $129K/yr

Strong proficiency in programming languages such as Python, SQL, Spark, or Java, with experience in data manipulation, transformation, and analysis. * Hands on experience with cloud-based data ...

Pwc

Data Engineer - Senior Associate

Spartanburg, SC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Python Data Analysis information

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

As of Jul 29, 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:
What are popular job titles related to Entry Level Python Data Analysis jobs in Greenville, SC? For Entry Level Python Data Analysis jobs in Greenville, SC, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Greenville, SC look for? The top searched job categories for Entry Level Python Data Analysis jobs in Greenville, SC are:
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.
Process Engineer - Data Analytics

Process Engineer - Data Analytics

Afl Telecommunications Llc

Duncan, SC

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $3B in revenue, and employ approximately 13,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.

What We Offer:

  • Flexible time off policy
  • 401K Company match (up to 4% - dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advance with an industry leading company!

Responsibilities

  • Build and maintain data-driven tools and reporting to support production and engineering decisions
  • Analyze high-mix manufacturing data to identify:
    • Bottlenecks
    • Flow constraints
    • Capacity issues
    • Improvement opportunities
  • Provide forward-looking insights to help engineering stay ahead of demand shifts
  • Improve production visibility and responsiveness in a constantly changing environment
  • Support process improvements, layout changes, and flow optimization
  • Work cross-functionally with production, engineering, and leadership
  • Update legacy manufacturing processes to support current market trends and increasing production demands.
  • Observe operations with a critical eye, collect trustworthy data, and build clean data streams to support process standards, corrections, new ground level scheduling efforts, operations capacity and loading understanding, and increase capacity.
  • Use engineering expertise, objective analysis, and professional judgment to improve, create, and sustain high performing processes capable of handling high mix.
  • Develop tools and systems to track performance and ensure immediate and long-term success.
  • Support new plantwide scheduling initiatives by developing tools and processes to properly load and synchronize operations.
  • Analyze actual vs. realized capacity and implement strategies to close performance gaps.
  • Focus operations on key performance indicators to drive measurable growth and continuous improvement.
  • Design, launch, and track meaningful manufacturing KPIs.
  • Train operations teams to understand and manage performance using data and metrics.
  • Actively contribute to a respectful, high-functioning team culture.
  • Build strong relationships across departments to foster collaboration and shared ownership.
  • Serve as a technical partner and mentor to peers and operations staff.

Qualifications

  • Bachelor’s degree in mechanical, industrial, or manufacturing engineering (or related field).
  • 2-3 years of experience in high-volume manufacturing environments preferred. 
  • Strong data analytics capability (core requirement); Proficiency in data analysis tools (Excel, SQL, Power BI, etc.) and manufacturing software.
  • Python experience preferred (data analysis, automation, or tool development)
  • Ability to operate effectively in a fast-changing, low-structure environment
  • Strong problem-solving skills with a focus on practical, actionable outcomes
  • Exceptional analytical and critical thinking skills.
  • Strong mechanical aptitude and understanding of machining principles.
  • Demonstrated ability to lead projects and drive change through influence and expertise.
  • Excellent communication and interpersonal skills.
  • Passion for teamwork, continuous improvement, and building a collaborative culture.

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