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Data Analyst Python Sql Jobs in Hampton, VA (NOW HIRING)

Ignite Digital

Data Analyst

Chesapeake, VA

$90K/yr

Strong proficiency in R or Python, SQL, Excel, and modern data visualization platforms (e.g., Tableau, Power BI). * Experience with statistical analysis and predictive modeling methodologies.

Ignite Digital

Senior Data Analyst

Chesapeake, VA

$100K/yr

Expert-level proficiency in R or Python, SQL, and multiple visualization tools (Tableau, Power BI ... translate complex analytics for executive audiences. * Experience with data governance, data ...

PeopleShare

Data Analyst

Norfolk, VA · On-site

... SQL, Python, Acrobat, Analytics, Excel, Coding 11. Mail list data processing & variable letter setup software experience in the following software packages is preferred; BCC or similar production ...

Ignite Digital

Junior Data Analyst

Chesapeake, VA

$80K/yr

Proficiency with SQL, Excel, and modern data visualization tools (Power BI, Tableau). * Experience in statistical analysis (basic to intermediate) and data mining techniques. * Handson experience ...

Danaher

Digital Analyst Internships

Chesapeake, VA

$86K - $101K/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 ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Hampton, VA

Data Analyst Python Sql information

See Hampton, VA salary details

$32.9K

$79.9K

$131.4K

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

As of Aug 4, 2026, the average yearly pay for data analyst python sql in Hampton, VA is $79,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 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 is a data analyst Python SQL?

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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

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 Hampton, VA? For Data Analyst Python Sql jobs in Hampton, VA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Hampton, VA look for? The top searched job categories for Data Analyst Python Sql jobs in Hampton, VA are:
What cities near Hampton, VA are hiring for Data Analyst Python Sql jobs? Cities near Hampton, VA 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 Hampton, VA as of June 2026, with employment types broken down into 78% Full Time, 16% Part Time, 3% Contract, and 3% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,866 per year, or $38.4 per hour.

Data Analyst

Ignite Digital

Chesapeake, VA

$90K/yr

Other

Posted 7 days ago

Job description

Ignite Digital is seeking a MidLevel Data Analyst to support a US Navy data analytics, cloud management, and IT modernization program in Norfolk, VA. This role advances Navy digital transformation by enabling highquality data insights, modern architectures, and enhanced decisionmaking across mission operations.

Position Overview

The MidLevel Data Analyst is responsible for performing sophisticated data analysis, developing reports, and creating intuitive visualizations that drive datainformed decisions. The ideal candidate can work independently or collaboratively, spot opportunities for improvement, and translate analytical findings into operational value. This role also includes mentoring junior analysts and supporting the development of data analysis standards and best practices.

Key Responsibilities:

  • Collect, clean, validate, and integrate data from multiple structured and unstructured sources, ensuring accuracy and integrity.
  • Perform exploratory data analysis to identify trends, patterns, risks, and anomalies.
  • Develop and maintain data models, databases, and analytical workflows.
  • Build and publish dashboards, reports, and visualizations using tools such as Tableau, Power BI, or similar platforms.
  • Conduct statistical analysis and develop predictive models using R or Python.
  • Communicate insights, findings, and recommendations clearly to technical and nontechnical stakeholders.
  • Collaborate with analysts, developers, and system engineers to design and implement datacentric solutions.
  • Mentor junior analysts and provide guidance on tools, techniques, and analytic methodologies.
  • Document workflows, processes, models, and analysis techniques for repeatability and program compliance.
  • Contribute to the development and refinement of analytics best practices and standardized methods.

Required Skills & Experience:

  • 4+ years of professional experience in data analytics.
  • Strong proficiency in R or Python, SQL, Excel, and modern data visualization platforms (e.g., Tableau, Power BI).
  • Experience with statistical analysis and predictive modeling methodologies.
  • Strong analytical reasoning and problemsolving skills.
  • Excellent communication and presentation capabilities.

Education & Certifications:

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or another related field.

Clearance

  • Active DoW SECRET security clearance required.

Salary: $90k+ to align with education and experience.

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