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Python Data Analyst Jobs in Columbia, SC (NOW HIRING)

Actively contribute to the expertise and competencies of the Data & Analytics team and work closely ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Analyzing data using tools such as Excel, SQL, Python, or R to surface trends, patterns, and actionable insights * Translating complex data findings into clear, compelling narratives for both ...

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

Work closely with data architects, analysts, and other stakeholders to understand business ... in SQL, Python, and big data technologies. * Experience with cloud services such as Azure Data ...

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Python Data Analyst information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

How much do python data analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for python data analyst in Columbia, SC is $76,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
What are the most commonly searched types of Python Data Analyst jobs in Columbia, SC? The most popular types of Python Data Analyst jobs in Columbia, SC are:
What job categories do people searching Python Data Analyst jobs in Columbia, SC look for? The top searched job categories for Python Data Analyst jobs in Columbia, SC are:
Infographic showing various Python Data Analyst job openings in Columbia, SC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $76,453 per year, or $36.8 per hour.
Institutional Data Analyst

Institutional Data Analyst

State of South Carolina

Columbia, SC • On-site

$57K - $86K/yr

Other

Medical, Life, Retirement, PTO

Posted 9 days ago


State Of South Carolina rating

7.7

Company rating: 7.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

26th of 50 rated states


Job description

Job Responsibilities Institutional Data Analyst Department: PROV Office of Institutional Research Assessment and Analytics (OIRAA) Advertised Salary Range: Part/Full Time: Full Time About UofSC From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning.

All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond. Inclusive Excellence Statement Advertised Job Summary The Institutional Data Analyst is an entry-level professional responsible for supporting university reporting, analytics, and data-informed decision-making. This role focuses on extracting, managing, and analyzing institutional data from internal and external sources to support reporting, dashboards, and strategic initiatives.

The analyst collaborates with campus stakeholders to gather requirements, develop reports and data visualizations, and contribute to analytical projects related to key institutional priorities such as enrollment and student success. Additionally, the role supports data governance efforts by promoting data quality, consistency, and best practices. This position is ideal for individuals with foundational experience in data analysis, statistics, or related fields who are seeking to build expertise in higher education analytics.

Minimum Qualifications (Classified and Unclassified positions) Preferred Qualifications Exposure to data analysis, reporting, or research methods through coursework, internships, or projects Experience with one or more tools such as SQL , R, Python, SAS , or SPSS Familiarity with data visualization tools such as Tableau, Power BI, or similar Interest in higher education data, institutional analytics, or public sector work Knowledge/Skills/Abilities Foundational understanding of data analysis and basic statistical concepts Ability to work with structured datasets and learn data querying techniques (e.g., SQL ) Strong attention to detail and ability to manage multiple tasks in a deadline-driven environment Effective written and verbal communication skills, with the ability to present data clearly Ability to work both independently and collaboratively within a team Willingness and ability to learn new tools, systems, and technologies Job Close Date 08/16/2026 Special Instructions to Applicant Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis

The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. We are only accepting applications submitted by August 16, 2026.

The University of South Carolina offers a valuable benefits package including but not limited to: Health and Life Insurance Retirement Programs Paid Tuition Dependent Scholarships Annual Leave Sick Leave 13 Paid Holidays (including an extended December holiday) Paid Parental Leave Professional Development Opportunities Clickhttps://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsc.edu%2Fabout%2Foffices_and_divisions%2Fhuman_resources%2Fcareers%2Findex.php&data=05%7C01%7CKURTRS%40email.sc.edu%7Ceca45df616784275e15908dab2a706ac%7C4b2a4b19d135420e8bb2b1cd238998cc%7C0%7C0%7C638018727680845870%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=j6sQGvabHDZHDmRBFwMrq8P8QCuDmChuJ%2FH5%2F8hDRUw%3D&reserved=0 to learn more about why you should work at USC . To apply, please visit: https://apptrkr.com/7287093 EEO Statement The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions. Copyright 2025 Jobelephant.com Inc

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About State of South Carolina

Sourced by ZipRecruiter

State of South Carolina is not a typical corporation, but the governing body of the US state of South Carolina, located in the capital city of Columbia. Its industry focuses on public administration, providing key essential services to ensure the efficient functioning of the state. These services range from public safety and environment protection to education, healthcare, and economic development. The state was founded in 1788, grounded in democratic principles meant to support the overall well-being of its citizenry. Its core values revolve around service, integrity, accountability, and transparency. The mission of the State of South Carolina is to improve the quality of life for all its people, with a focus on education advancement, economic growth, and improved healthcare.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Columbia, SC, US

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