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

Ignite Digital

Data Analyst

Charleston, SC · On-site

$105K/yr

Intermediate Python knowledge/experience * Intermediate proficiency in SQL * Advanced proficiency in Microsoft Excel * Experience developing, implementing, analyzing, and supporting data modeling

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 SQL Server and PostgreSQL * Experience with Python, and libraries such as Pandas ...

Danaher

Digital Analyst Internships

Mount Pleasant, SC · On-site

$94K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Charleston, SC · On-site

$92K - $109K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Truvani

eCommerce Data Analyst - REMOTE

Charleston, SC · Remote

Years of Excel and SQL experience * Have an understanding of effective report/dashboard design and ... Be able to translate data analysis into business recommendations WHAT WE WILL TEACH YOU: * Gain ...

Truvani

eCommerce Data Analyst - REMOTE

Charleston, SC · On-site +1

Years of Excel and SQL experience * Have an understanding of effective report/dashboard design and ... Be able to translate data analysis into business recommendations WHAT WE WILL TEACH YOU: * Gain ...

Brookfield Properties

Senior Data Engineer

Charleston, SC · On-site

$99K - $134K/yr

... support analytics and data-driven decision-making across the organization. This role requires ... The ideal candidate will have strong proficiency in Python, SQL, AWS services such as S3 and ...

Brookfield Properties

Senior Data Engineer

Charleston, SC · On-site

$99K - $134K/yr

... support analytics and data-driven decision-making across the organization. This role requires ... The ideal candidate will have strong proficiency in Python, SQL, AWS services such as S3 and ...

KORE1 Technologies

Data Engineer

Charleston, SC · On-site

$160K/yr

Advanced Python development for data engineering and automation * Advanced SQL skills including ... Exposure to AI-driven analytics or agent-based workflows * Experience implementing enterprise ...

KORE1 Technologies

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

Advanced Python development for data engineering and automation * Advanced SQL skills including ... Exposure to AI-driven analytics or agent-based workflows * Experience implementing enterprise ...

FocusKPI

Marketing Operations Analyst

Charleston, SC · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

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

Data Analyst Python Sql information

See Charleston, SC salary details

$31.8K

$77.3K

$127.3K

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 Charleston, SC is $77,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 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 Charleston, SC? For Data Analyst Python Sql jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Charleston, SC look for? The top searched job categories for Data Analyst Python Sql jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Data Analyst Python Sql jobs? Cities near Charleston, 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 Charleston, SC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $77,336 per year, or $37.2 per hour.

Data Analyst

Ignite Digital

Charleston, SC • On-site

$105K/yr

Other

Posted 19 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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