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

Varsity Tutors

Data Analysis Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

TMS

Data Modeler

Columbia, SC · On-site

$55 - $56/hr

Conduct data analysis, and quality assurance to ensure data integrity and consistency * Implement ... Experience with SQL * Experience with databases such as Oracle, SQL Server, or MySQL * Knowledge of ...

Ask IT consulting

SQL Database Administrator

Columbia, SC

$46.25 - $57.75/hr

Identify, analyze, and interpret trends or patterns in complex data sets. Design, document ... SQL server experience * Backup / recovery operation * Database planning and design * Database ...

Artefact

Data Consultant - Junior (New)

North, SC · On-site

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 ...

Prolific

Data Quality Engineer, AI Business

North, SC · On-site

$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 ...

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$18 - $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 ...

Pwc

Payer Platform Delivery Lead, Director

Columbia, SC

$155K - $410K/yr

These individuals analyse client needs, develop operational strategies, and offer guidance and ... data - Proficiency in Python, SQL, and modern data stack tools - Demonstrating a proven track ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

... SQL and DB tool(s) o Clean and validate data o Generate anomaly reports for others to act upon Analyze, design and document updated DB schema with industry standard features and create a map from ...

Credence

Data Scientist- AFCENT

Shaw Air Force Base, SC · On-site

Proficiency in using Python and common AI/ML libraries and frameworks * Experience with SQL and ... Experience analyzing and briefing adversary surface-to-surface missile capabilities. * Experience ...

Credence

Data Scientist- AFCENT

Shaw Air Force Base, SC · On-site

Proficiency in using Python and common AI/ML libraries and frameworks * Experience with SQL and ... Experience analyzing and briefing adversary surface-to-surface missile capabilities. * Experience ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Columbia, SC

Data Analyst Python Sql information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

How much do data analyst python sql jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data analyst python sql 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Columbia, SC? For Data Analyst Python Sql jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Columbia, SC look for? The top searched job categories for Data Analyst Python Sql jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Data Analyst Python Sql jobs? Cities near Columbia, SC with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql 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.

Data Sciences Director

Virginia Farm Bureau Mutual

West Columbia, SC

Full-time

Posted 23 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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