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Data Analyst Python Sql Jobs in Greenville, SC (NOW HIRING)

Pwc

Data Strategy-Manager

Spartanburg, SC

$99K - $232K/yr

... SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80% Job Posting End Date The salary ...

Varsity Tutors

Data Analysis Tutor

Greenville, SC · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Global Lending Services

Business Analyst

Greenville, SC · On-site

Business Analysts apply their data analytics and business acumen to support data-driven business ... Working knowledge of SQL and/or Python preferred * Strong written and verbal communication skills ...

Mantx LLC

Junior Software Developer

Taylors, SC · On-site

$50K/yr

... Python / FastAPI - Write and optimize SQL against PostgreSQL -- bonus points if you never once ... fundamentals -- data structures, Git, HTTP, and a general sense of how a web app holds itself ...

Sonsoft Inc

Oracle Powershell & PL/SQL

Greenville, SC

$47.75 - $60.25/hr

Knowledge and experience in Python * At least 4 years of experience in Project life cycle ... Analytical skills * Experience and desire to work in a Global delivery environment Qualifications

SwiftCruit

Lead Engineer - Fleet Management

Greenville, SC · On-site

$98.40 - $164/hr

Performs RAM sensitivity analysis to support Data center bids and proposals for key customers such ... Visual Basic, R, Python, SQL, LabVIEW, etc...) Additional Information GE Vernova offers a great ...

New

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 ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Greenville, SC

Data Analyst Python Sql information

See Greenville, SC salary details

$32K

$77.7K

$127.9K

How much do data analyst python sql jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst python sql in Greenville, SC is $77,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $91,200.00 per year, depending on experience, location, and employer.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Greenville, SC? For Data Analyst Python Sql jobs in Greenville, SC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Greenville, SC look for? The top searched job categories for Data Analyst Python Sql jobs in Greenville, SC are:
What cities near Greenville, SC are hiring for Data Analyst Python Sql jobs? Cities near Greenville, SC with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Greenville, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,706 per year, or $37.4 per hour.

Paint Shop Digitalization Co-op

BMW Group

Spartanburg, SC • On-site

Full-time

Posted 6 days ago

BMW Group rating

7.7

Company rating: 7.7 out of 10

Based on 190 frontline employees who took The Breakroom Quiz

10th of 44 rated automakers

Job description

Job Title: Paint Shop Digitalization Co-op
Posting Start Date: 7/31/26
Job Location (Long):
Spartanburg, South Carolina United States
Job Description:
Description:
Support Paint Shop quality systems that impact pre-paint finish, corrosion, application, finish, paint repair, and new model launch areas through the development of process improvements, innovations, and software tools. The paint shop digitalization co-op will engage in problem solving activities related to quality and process flow topics. The paint shop digitalization co-op will work with department management teams to communicate existing concepts to improve transparency of the quality landscape and vehicle / information flow management. The paint shop digitalization co-op will investigate the next generation of flow concepts, software tools, and assess feasibility and potential benefits. Performs other duties as assigned by management.
Assignment duties and possible projects:
  • Quality, Data Analytics, Problem Solving: Engage in problem solving in the department related to KPI impacts and quality.
  • Develop new ways to display operations / quality data that facilitates a faster and clearer path from problem recognition to solution.
  • Participate in problem solving activities in department to improve KPI's and develop new methods and tools.
  • Develop new mobile software solutions to streamline the defect documentation process and other quality related processes.
  • Develop or enhance tools to improve visibility of paint shop quality process adherence.
  • Interface with existing plant quality management IT systems.
  • Suggest and test new ideas and technology.
  • Create innovative dashboards to quantify, understand, and visualize all the intricacies of paint shop departments from a quality perspective.

Qualifications:
  • Computer Science, Computer Information Systems, Management Information Systems, Data Science / Analytics, or other related degrees
  • Proficiency in data engineering and analysis utilizing tools such as Python, SQL, or similar
  • Preferred experience with data visualization tools such as Power BI, Tableau, Quicksight, etc.
  • On-premises / Cloud Database management preferred.
  • Application development / design (Oracle APEX / Power Apps / Other low-code-no-code platforms) preferred.
  • Microsoft Office Suite experience
  • Agile Working Methodology
  • Strong analytical and problem-solving skills with a keen attention to detail
  • Effective communication skills.
  • Possess a minimum cumulative GPA of 3.0 (not just in major)
  • Have enrolled student status at an accredited four-year college or university in the United States.
  • Completed at least 30 credit hours at time of application.
  • Ability to work full-time on-site (40 hours / week).
  • Transfer students must have a GPA from current university.
  • MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT
  • Complete and pass a substance abuse test before the work term.
  • THE WORK TERM DATES ARE January 11th - May 14th, 2027.
  • Must be an enrolled student during all three rotations.

BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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