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Python Data Analyst Jobs in South Carolina (NOW HIRING)

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

College of Charleston

Senior Data Analyst

Charleston, SC · On-site

$79K - $100K/yr

Programming and statistical languages such as SQL, Python, R, SAS, and SPSS. * Understanding of ... Data analysis techniques like machine learning, predictive modeling, and statistical analysis.

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 ...

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 ...

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 ...

Hays

Full Stack Python Developer

Fort Mill, SC · On-site

Python Developer (Full Stack) Location: Fort Mill, SC (Hybrid - 3 days onsite) Address: 580 ... data modelers, analysts, and business stakeholders across multiple product teams .Key ...

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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 Jun 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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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 useful for data analysts?

Python is highly useful for data analysts as 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.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
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 June 2026, with employment types broken down into 2% Internship, 69% Full Time, 2% Part Time, 23% Contract, and 4% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $76,686 per year, or $36.9 per hour.

Data Analyst

Ignite Digital

Charleston, SC

$105K/yr

Other

Posted 4 days ago

Job description

Ignite Digital has an exciting opportunity for a Data Analyst to support our client engagement within the federal government for the Charleston, SC or Washington, DC area. The ideal candidate is a self-starter with strong analytical skills and a strong work ethic. This position serves an important role in supporting the Navy's ability to recruit, onboard, and retain top-talent through Data Modeling and analysis of work-flow processes.


Responsibilities:

  • Evaluate, develop, and implement solutions within current business processes to optimize efficiencies in collaboration with process SMEs
  • Evaluate current workflows for potential bottlenecks and make recommendations for automation of manpower tasks
  • Design and deliver dashboards that reconcile key performance indicators and operational data for the command to drive actionable objectives
  • Identify methods to collect, analyze, and manage data with the goal of making recommendations to improve data quality and the efficiency of the workflow
  • Evaluate the performance and applicability of tools against customer and client requirements
  • Foster collaborative business relationships with stakeholders, business partners, and team members
  • Collaborate with Navy clients on enterprise reporting and objectives
  • Translate high-level business requirements into functional specifications and reports


Minimum Qualifications:

  • Bachelor's Degree in Computer Science, Information Technology, Data Science, other related field
  • Active DoD SECRET security clearance
  • Experience with DoW/NAVWAR business practices, data management systems and processes
  • High proficiency in Data Visualization and Data Modeling
  • Intermediate to Advanced proficiency in Data Cleansing
  • High proficiency and experience with BI Tools (ie. Tableau)
  • Intermediate Python knowledge/experience
  • Intermediate proficiency in SQL
  • Advanced proficiency in Microsoft Excel
  • Experience developing, implementing, analyzing, and supporting data modeling
  • Strong customer service experience
  • Strong communication skills
  • Experience working with a variety of stakeholders, from managers to technical resources, to include the translation of business requirements into operational measures and reports
  • Demonstrated experience in handling large data sets and communication through reports
  • Ability to take initiative and work independently, and quickly transition to reassess priorities

Preferred Qualifications:

  • Knowledge of the system development life cycle, software project management approaches and requirements, design and test techniques including experience working in a DevOps/DevSecOps delivery environment
  • Experience with onboarding (e.g. CAC, Clearance, Base Access, etc) personnel to support government contracts
  • Adapts quickly to new situations, is willing to learn new technologies and works well in a team environment, leading individual projects without the need for supervision

Salary: $105k+ to align with experience and education

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