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

Artefact

Sr Data Analyst

North, SC

$79K - $100K/yr

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 ...

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 ...

Pwc

GenAI Python Systems Engineer-Manager

Columbia, SC · On-site

$99K - $232K/yr

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 ...

State of South Carolina

Data Scientist

Columbia, SC

Advanced proficiency in R and/or Python for data analysis and modeling. Experience with SQL and relational databases. Experience visualizing/presenting data for stakeholders using: Power BI, DAX ...

Artefact

Data Consultant - Senior

North, SC

Performing advanced data analysis and rigorous research to solve high-impact, strategic challenges ... Advanced proficiency in Excel and PowerPoint; experience with SQL, Python, or R is a strong ...

Artefact

Data Consultant - Junior (New)

North, SC

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 ...

Artefact

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 ...

Artefact

Senior Data Scientist - Canada

North, SC

Translate marketing and business challenges into analytical use cases, assess feasibility, and ... Proficient in Python (preferred) and/or R Preferred: * Financial sector experience. * Preference in ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Columbia, SC

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 Jun 23, 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.

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 Columbia, SC? The most popular types of Python Data Analyst jobs in Columbia, SC are:
What are popular job titles related to Python Data Analyst jobs in Columbia, SC? For Python Data Analyst jobs in Columbia, SC, the most frequently searched job titles 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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Columbia, SC as of June 2026, with employment types broken down into 3% As Needed, 37% Full Time, 49% Part Time, 10% Contract, and 1% Nights. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $76,453 per year, or $36.8 per hour.

Data Analyst

SPECTRAFORCE TECHNOLOGIES Inc.

Columbia, SC • On-site

Other

Posted 13 days ago

Job description

Title: Data Analyst III
Location; Columbia, SC (Onsite 3x per week)
Duration: 12 months
Duties:

  • Day to day:
    • There is a development and recurring or operational focus for the analyst.
    • The development work is consultative, customer-facing, and requires understanding I/S business processes.
    • Work involves facilitating meetings, gathering and documenting requirements, interacting with management and multiple teams to complete work, designing and developing a solution, and presenting outcomes to customers.
    • This work requires a technical focus as well as a business perspective and consultative mindset.
    • The recurring or operational work is recurring, repeatable tasks and includes one-time ad-hoc requests.
    • Recurring reports and data entry are well defined and are as automated as possible.
    • Recurring work is reviewed annually at a minimum to ensure it continues to meet business needs.
    • This work requires knowledge of reporting and data tools and communication with customers.
    • The operations focuses on timeliness, accuracy, consistency, and providing the key customer insights and analysis to help with business needs and decisions
  • Creates and analyzes reports to support operations.
  • Ensures correctness of analysis, and reports findings in a concise manner to senior management.
  • Directly responsible for accuracy of data as financial and operational decisions are made based on the data provided.
  • 30% Generates internal and external reports to support management in determining productivity and efficiencies of programs or operational processes.
  • Revises existing reports and develops new reports based on changing methodologies.
  • 30% Analyzes reports to ensure accuracy and quality. Tracks and verifies all reporting statistics.
  • 20% Communicates and trains employees and managers on the complex database programs used to generate analytical data.
  • 20% Designs, codes, and maintains complex database programs for the extraction and analysis of data to support financial and operational decisions.

Required Technologies:

  • Strong SQL knowledge
  • PowerBI
  • Microsoft Excel

Preferred Technologies:

  • Tableau
  • Power Automate
  • Python
  • GitHub
  • MS Access

Required Education:

  • Bachelor''s degree in Statistics, Computer Science, Mathematics, Business, Healthcare, or other related field. Degree Equivalency: 2 year degree in Computer Science, Business or related field and 2 years of reporting and data analysis work experience. OR 4 years reporting and data analysis experience.

Required Work Experience:

  • 4 Years Research and analysis experience.

Preferred Work Experience:

  • 6 Years-Research and analysis experience.

Required Skills and Abilities:

  • Strong organizational, customer service, communications, and analytical skills.
  • Advanced experience using complex mathematical calculations and understand mathematical and statistical concepts.
  • Knowledge of relevant computer support systems.
  • Ability to train subordinate staff including provide assistance/guidance to staff in design/execution of reporting needs.
  • Proven experience with report writing and technical requirements analysis, data and business process modeling/mapping, and methodology development.
  • Strong understanding of relational database structures, theories, principles, and practices.

Required Software and Other Tools:

  • Advanced knowledge of Microsoft Office.
  • Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases.
  • Knowledge of tools such as Visual Basic and Macros useful in automating reporting processes.

Preferred Skills and Abilities:

  • Computer programming skills
  • Negotiation or persuasion skills.
  • Knowledge of ICD9/CPT4 coding.
  • Knowledge of the healthcare delivery system.

Preferred Software and Other Tools:

  • SAS experience.

Work environment:

  • Typical office environment.
  • Some travel between buildings and out of town.

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