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Python Data Analyst Jobs in South Carolina (NOW HIRING)

DBD International

Data Analyst

Aiken, SC

Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data integrity, and work closely with cross-functional teams to deliver accurate, actionable analysis ...

Ignite Digital

Data Analyst

Charleston, SC

$105K/yr

Intermediate Python knowledge/experience * Intermediate proficiency in SQL * Advanced proficiency in Microsoft Excel * Experience developing, implementing, analyzing, and supporting data modeling

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Lynker is seeking a sharp Geospatial Data Analyst to join our team. This role is contingent upon ... 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

Artefact

Jr Data Analyst - (Canada-based)

North, SC

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 ...

LPL Financial

Senior Analyst, Data Science

Fort Mill, SC

$75K - $95K/yr

Experience with Python for data manipulation, statistical analysis, and machine learning that goes beyond Jupyter notebooks; strives for clean, Git version-controlled code. * Experience working with ...

Lockheed Martin

Data Analyst Sr- Level 3

Greenville, SC · On-site

$85K - $150K/yr

... data scientist analyst who will play a key role in developing, deploying, and maintaining data ... with Python-R programming -Background/ Interest with AI machine learning concepts and can ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in South Carolina

Python Data Analyst information

See South Carolina salary details

$31.6K

$76.7K

$126.2K

How much do python data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for python data analyst in South Carolina is $76,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $90,000.00 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.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in South Carolina? The most popular types of Python Data Analyst jobs in South Carolina are:
What are popular job titles related to Python Data Analyst jobs in South Carolina? For Python Data Analyst jobs in South Carolina, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in South Carolina look for? The top searched job categories for Python Data Analyst jobs in South Carolina are:
What cities in South Carolina are hiring for Python Data Analyst jobs? Cities in South Carolina with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in South Carolina as of July 2026, with employment types broken down into 1% Internship, 82% Full Time, 10% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $76,686 per year, or $36.9 per hour.

Data Analyst

DBD International

Aiken, SC

Full-time

Posted 25 days ago

Job description

Role summary: As a Data Analyst, you will transform complex data into clear, meaningful insights that support decision-making across the business. Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data integrity, and work closely with cross-functional teams to deliver accurate, actionable analysis within a highly regulated engineering environment.

What you will be doing:

  • Developing clear, insightful, and visually engaging dashboards, reports, and data visualisations using Power BI to support informed decision-making.

  • Analysing and manipulating data using SQL and Python to identify trends, patterns, and actionable insights.

  • Supporting the definition and refinement of key performance indicators (KPIs) and metrics to track business and technical performance.

  • Collaborating with engineering, project management, and consultancy teams to understand requirements, shape analytical approaches, and communicate findings.

  • Monitoring data quality, identifying anomalies, and implementing controls to maintain data accuracy, consistency, and integrity.

  • Providing training, guidance, and ongoing support to users of data platforms and analytics tools.

Formal qualifications or training:

  • We’d love to hear from you if you have hands-on experience in data analysis, manipulation, and visualisation. Strong experience using a Microsoft data technology stack (including Power BI and SQL) is essential, with working knowledge of Python for analysis and automation highly desirable.

Make a Difference with DBD:

At DBD, we know you're looking for more than just a job - you aspire to make a real impact in the nuclear industry. We offer unique opportunities for growth, empowering you to take influential roles within client organisations.

Our dedicated team collaborates with clients to positively influence projects across Defence, Decommissioning and New Builds. Having doubled in headcount year-on-year, over the past two years, we continue to welcome new, talented individuals to our team.

We're committed to your success. DBD invests in your development and supports your career trajectory in any direction you want to take it.

Join us to play a key role in shaping the nuclear sector's future.

Make a difference today with DBD.