ZipRecruiter

Log In

1

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

Ourhrconnect

Data Scientist

Columbia, SC · On-site

Proficiency using SQL to query large, complex datasets. * Strong programming, analytical, and ... Proficiency using Python. * Proficiency using Data Bricks. * Strong written, verbal, presentation ...

Infojini Inc

SQL DBA

Blythewood, SC · On-site

$40 - $49.75/hr

... AND ANALYSIS SERVICES IMPLEMENTED IN A NUMBER OF SUPPORT SYSTEMS SUCH AS SHAREPOINT, MS SYSTEM ... ALSO INVESTIGATING BUSINESS INTELLIGENCE SOLUTIONS FOR ALL OF ITS DATA ASSETS INCLUDING ORACLE AND ...

Artefact

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

... analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra ... Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks ...

Infojini Inc

SQL Server DBA

Blythewood, SC

Desired o Analyze, develop, and support stored procedures and SQL. Business Intelligence o Assess business intelligence tools for appropriateness to SCDMV data architecture, SQL and Oracle. o Design ...

Pwc

GenAI Python Systems Engineer-Manager

Columbia, SC

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SQL - Experience with Docker and containerized deployments - Skilled in AI techniques enhancing ...

Software People, Inc.

SQL Database Administrator

Columbia, SC · On-site

$46.25 - $57.75/hr

... case data. • Analyze and tune: o Stored procedures o Dynamic SQL o Cross-database queries o CTE-heavy workloads o Index fragmentation and statistics • Review and optimize ETL loops across ...

Varsity Tutors

SQL Tutor

Columbia, SC · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

United Airlines

GCP Data Engineer - Python

Columbia, SC

$80K - $106K/yr

... GCP using Python programming * This role is ideal for someone eager to build scalable data ... Exposure to GCP services such as IAM KMS GCS BigQuery BigLake Bigtable Cloud Composer GKE Cloud SQL ...

Infojini Inc

Senior SQL Server DBA

Columbia, SC

Desired o Analyze, develop, and support stored procedures and SQL. Business Intelligence o Assess business intelligence tools for appropriateness to SCDMV data architecture, SQL and Oracle. o Design ...

Pwc

Data Strategy-Manager

Columbia, SC

$99K - $232K/yr

... SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80% Job Posting End Date The salary ...

next page

Showing results 1-20

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 Jun 27, 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.

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.

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.

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 June 2026, with employment types broken down into 2% Internship, 82% Full Time, 9% Part Time, and 7% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $76,453 per year, or $36.8 per hour.
SQL Database Administrator - Contract - Remote

SQL Database Administrator - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • On-site, Remote

$40.75 - $51/hr

Contractor

Posted 20 days ago

Job description


SQL Database AdministratorLocation:Remote
Interview Process: One round of Virtual Interviews
Duration: 12 MonthsEmployment Type: ContractExperience Required: 05+ Years
Candidate location: Candidates MUST be a CURRENT resident in the Eastern Time zone. No relocation.
Project Scope:
The Database Administrator (Intermediate) will support enterprise-level reporting, analytics, and data management activities within a government healthcare environment. This role focuses on designing, building, maintaining, and optimizing reports and dashboards using SQL, MySQL, and Power BI while working with large structured and unstructured datasets. The position requires strong analytical skills, attention to detail, and the ability to translate business needs into actionable data insights.
Key Responsibilities:
Reporting & Dashboard Development
  • Design,build, maintain, and modify standard, ad-hoc, and scheduled reports usingSQL and MySQL
  • Develop andmanage interactive dashboards using Power BI
  • Extract,transform, and analyze data from multiple heterogeneous sources
  • Work withlarge-scale datasets to generate business insights and reporting solutions

Data Analysis & Insights
  • Performtrend analysis, performance analysis, and predictive forecasting
  • Apply dataanalytics techniques to support decision-making processes
  • Interpretcomplex datasets and translate findings into meaningful insights forstakeholders

Performance & Business Analytics
  • Utilizeperformance metrics and analytics tools to build operational and strategicdashboards
  • Supportpredictive and descriptive analytics initiatives
  • Identifydata patterns, anomalies, and opportunities for process improvement

Stakeholder Support & Consultation
  • Provideguidance to business users on metrics, reporting structures, and datainterpretation
  • Collaboratewith stakeholders to define reporting requirements and KPI definitions
  • Offerconsultation on effective use of data for business decision-making

Documentation & Training
  • Develop andmaintain detailed documentation for reporting processes, data sources, andworkflows
  • Train endusers and team members on reporting tools, dashboards, and analytics bestpractices
  • Ensureproper knowledge transfer for all reporting solutions developed

Data Management & Optimization
  • Ensureaccuracy, integrity, and efficiency of data extraction and reportingprocesses
  • Optimize SQLqueries and reporting performance for large datasets
  • Maintain andimprove existing reporting systems and data pipelines

General Responsibilities
  • Managemultiple priorities and deliverables effectively
  • Workindependently in ambiguous environments and define clear reportingrequirements
  • Collaboratewith technical and non-technical teams across the organization
  • Ensurecompliance with government data standards and reporting guidelines

Required Skills & Experience:
• 3+ years of experience in SQL development and querying
• 3+ years of experience in Power BI development
• 3+ years of experience working with large datasets in a government or regulated environment
• 3+ years of experience with Excel for data analysis and reporting
• Experience with Electronic Health Records (EHR) systems
• Knowledge of medical terminology
Preferred Skills:
• Health Information Exchange (HIE) experience
• HL7 messaging standards
• Experience with tools such as Mirth, SQL Squirrel, PACS, CIPS, NextGen EHR, or Epic
• Experience working with correctional or public health systems
• Strong background in healthcare data integration and reporting
Education:
Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field
OR equivalent professional experience

Apply