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

AFL

Senior BI & Data Analyst

Duncan, SC · On-site

Under general supervision, the Analyst will design, develop, implement, enhance and maintain ... Strong SQL knowledge and query writing abilities including data validations and performance tuning

Purpose Financial

Data Operations Engineer

Greenville, SC · On-site

$107K - $129K/yr

Develop scripts and tools (Python, SQL, Bash, etc.) to streamline operations * Contribute to CI/CD ... Work with analytics teams to ensure timely and accurate data delivery * Support data governance ...

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 ...

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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 Jul 14, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 8% Part Time, 2% Temporary, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $77,706 per year, or $37.4 per hour.
Data Analyst

Data Analyst

Staffingine LLC

Greenville, SC • On-site

Contractor

Re-posted 29 days ago

Job description

Job Title: Data Analyst 
Job Location: Greenville, SC 
Job Type:  Contract 

Job Description:  

  • Help prepare borrowing base reports, and monthly service reports 

  • Provide support in initiatives with Data Governance to help optimize 

  • Treasury processes around data 

  • Coordinating and preparing necessary material for investor presentations, management reporting, and other necessary reporting requests 

  • Performing ad-hoc analyses, and other duties as assigned 

Qualifications: 

  • Excellent communication skills with acute attention to detail 

  • Strong analytical skills, with ability to problem solve 

  • Proficient with Excel, Word, and PowerPoint 

  • Some proficiency in SQL, Snowflake preferred