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

Artefact

Jr. Data Scientist - (Canada-based)

North, SC · On-site

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 ...

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Prolific

Data Quality Engineer, AI Business

North, SC

$106K - $127K/yr

... analytics engineering, trust and integrity, or ML/LLM evaluation operations. * Strong proficiency in Python and SQL, with comfort applying statistical concepts such as sampling strategies, confidence ...

Talint

Junior Financial Analyst

Shaw Air Force Base, SC · On-site

$52K/yr

... data validation processes; * Ability to analyze large datasets and identify discrepancies; * Strong analytical, organizational, and documentation skills; * Exposure to tools such as SQL, Python ...

Ardurra Group, Inc.

GIS Analyst II

Columbia, SC · On-site

Design, document, and implement data workflows that streamline GIS use across departments and ... Knowledge of scripting and automation (Python, ModelBuilder, Arcade) to improve efficiency and ...

Ardurra Group, Inc.

GIS Analyst II

Columbia, SC · On-site +1

Design, document, and implement data workflows that streamline GIS use across departments and ... Knowledge of scripting and automation (Python, ModelBuilder, Arcade) to improve efficiency and ...

Ardurra

GIS Analyst II

Columbia, SC · On-site +1

Design, document, and implement data workflows that streamline GISuseacross departments and offices ... Knowledge of scripting and automation (Python,ModelBuilder, Arcade) to improve efficiency and ...

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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 Sciences Director

Virginia Farm Bureau Mutual

West Columbia, SC

Full-time

Posted 3 days ago

Job description

Essential Functions & Qualifications

Identify actionable business insights hidden within existing reports and datasets. Communicate these insights to Executive Leadership Team to support strategic and operational decisions.

Formulate and investigate new business questions in response to evolving challenges and opportunities. Interrogate data to uncover trends, correlations, and anomalies not previously considered, e.g. surfacing insights that can influence decisions around pricing, risk selection, target marketing, distribution strategy, claims handling, and customer experience.

Work cross-functionally with actuarial teams and management reporting experts to amplify analytical capabilities. Lead collaborative efforts to build unified data narratives that drive clarity and foresight.

Develop new, innovative reporting models that go beyond standard KPIs. Propose fresh reporting structures that illuminate emerging performance drivers or risk indicators.

Translate ambiguous business challenges into structured analyses using internal datasets. Recommend solutions or mitigation strategies based on rigorous data interpretation.

Present findings, insights, and recommendations in a clear, compelling way tailored to executive audiences. Support strategic planning sessions and performance reviews with data-backed perspectives.

5-8 plus years of progressive experience in data science, advanced analytics, or business intelligence required.

Strong working knowledge of P&C insurance operations, underwriting, claims, and financial performance metrics required.Familiarity with actuarial and management reporting processes, able to collaborate fluently across both required.

Proven experience delivering insights that influence business decisions at the executive level required.

Expert-level proficiency in SQL, Python, R, or other data interrogation tools required.

Strong data visualization skills using Tableau, Power BI, or equivalent platforms required.

Exceptional communication and storytelling skills, able to bridge the gap between data complexity and business clarity required.

Familiarity with agentic and generative AI tools to enhance data interrogation, automate insight generation, or prototype analytical frameworks required.

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