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Entry Level Python Data Analysis Jobs in Charleston, SC

Ignite Digital

Data Analyst

Charleston, SC

$105K/yr

... Data Modeling and analysis of work-flow processes. Responsibilities: * Evaluate, develop, and ... Intermediate Python knowledge/experience * Intermediate proficiency in SQL * Advanced proficiency ...

SynergisticIT

Machine Learning Engineer

Mount Pleasant, SC · On-site

$109K - $131K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

... analysis and distribution * Use a range of data visualization tools and data science techniques to ... Experience with Python, and libraries such as Pandas and Plotly * Experience with MapBox, AzureMaps ...

CenterWell Primary Care

Senior Data Analyst

Charleston, SC · On-site +1

$82K - $103K/yr

... Python, and know dimensional modeling and data warehouse design. Focus Area 2 - Business ... analytics, data engineering, business intelligence, or a planning and forecasting function

Varsity Tutors

Data Science Tutor

Charleston, 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 ...

Varsity Tutors

Data Science Tutor

Mount Pleasant, 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 ...

Danaher

Digital Analyst Internships

Charleston, SC · On-site

$92K - $109K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Mount Pleasant, SC · On-site

$94K - $111K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Proficiency in SQL and at least once scripting language (Python or R preferred) to build data ... Analytical Response Team (ART) Database * Restore and modernize legacy database systems (MS Access ...

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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 28, 2026, the average hourly pay for entry level python data analysis in Charleston, SC is $30.81, according to ZipRecruiter salary data. Most workers in this role earn between $19.81 and $34.42 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 Charleston, SC? The most popular types of Python Data Analysis jobs in Charleston, SC are:
What are popular job titles related to Entry Level Python Data Analysis jobs in Charleston, SC? For Entry Level Python Data Analysis jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Charleston, SC look for? The top searched job categories for Entry Level Python Data Analysis jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Entry Level Python Data Analysis jobs? Cities near Charleston, 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 Charleston, SC as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $64,092 per year, or $30.8 per hour.

Engineer Data (Multiple Positions) (REF291620F)

Bosch Group

Charleston, SC • On-site

$109K - $131K/yr

Full-time

Posted 15 days ago

Job description

Company Description
Robert Bosch LLC seeks Engineer Data (Multiple Positions) at its facility located at 8101 Dorchester Road, Charleston, SC 29418. Provide data to end users by creating and maintaining data pipelines allowing them to do data analytics and data mining. Create and maintain optimal data pipelines for test and experimental data. 10% Work with data warehouses, data lakes and cloud-based environments. Extract, transform and load the data from a wide variety of sources using Python, SQL, and/or MS Azure. 10% Assemble and analyze large, complex datasets from different sources that meet business requirements. 15% Build analytics tools that utilize data pipelines to provide actionable insights into development and manufacture process improvements, operational efficiency, testing supervision, test evaluation. 10% Work with design, testing and manufacturing engineers to assist with data-related issues and support data infrastructure needs, including predictive maintenance and performance evaluation. 15% Work with an international team of data and analytics experts to strive for greater functionality in data systems and digitalization efforts. 10% Monitor release testing progress and implement new tracing metrics, applying machine learning and visualization methods to classify and evaluate test data. 10% Identify, design and implement internal process improvements, including physics-based modeling and automating analysis pipelines. 5% Build processes supporting data transformation and data structures, demonstrate through Python-based pipelines for test and experimental data. 5% Ability to manipulate, process and extract value from large connected and disconnected datasets in both experimental and production environments. 10% REQS: This position requires a bachelor's degree or foreign equivalent in Mechanical Engineering, Aerospace Engineering, Computer Science, Informatics, Information Systems or a related field, and 3 years of experience as a Mechanical Engineer, Data Scientist or in an occupation involving data processing, designing mechanical components, testing and validating components. Additionally, the applicant must have employment experience with: (1) Cloud environments such as Azure and Databricks, and proficiency in Python for large-scale data analysis in development, testing and production environment; (2) PySpark or Scala, and Python for transformation, modeling, and analysis of high-volume test and experimental data coming from different sources like test benches, vehicle data, simulations and production equipment; (3) Collecting, processing, and analyzing data from multiple internal and external sources to perform root cause analysis related to vehicle dynamics and system performance, identifying improvement opportunities, developing data driven solutions, and validating results through numerical simulations and test data correlation; (4) Performing root cause analysis on production-related troubleshooting through vibration, durability, and hydraulic system data; (5) Machine learning algorithms for classification, predictive maintenance, and test data analysis; (6) Manipulating process and extract insights from large experimental and production datasets; and (7) Hydraulic Systems, Tableau, Power BI, Qlik, PySpark, Scala, Python, Azure, Databricks, Siemens NX and Teamcenter, MS Project, MATLAB, Ansys Fluent, and Abaqus. Travel Requirements: 10% domestic and international travel. Telecommuting: 1 day work from home/4 days on site per week. Applicants who are interested in this position should apply via https://www.bosch.us/careers/, search [Engineer Data (Multiple Positions) /
REF291620F].
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