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

Data Analyst Python Sql information

See Hot Springs, VA salary details

$31.6K

$76.9K

$126.5K

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

As of Aug 25, 2026, the average yearly pay for data analyst python sql in Hot Springs, VA is $76,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,200.00 per year, depending on experience, location, and employer.

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 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.

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 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 cities near Hot Springs, VA are hiring for Data Analyst Python Sql jobs?

Cities near Hot Springs, VA with the most Data Analyst Python Sql job openings:

HPC Software Engineer III - UPDATED

Associated Universities, Inc.

Green Bank, WV • On-site

$79K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Position Description:
Position Summary
The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. NRAO operates a portfolio of world-class research facilities and, as part of its long-term strategic roadmap, is expanding the large-scale computing infrastructure needed to support increasingly data-intensive science. This includes building modern, scalable data-processing systems in partnership with leading high-performance computing (HPC) centers.
This effort involves designing and prototyping technical infrastructure and data-processing software that is significantly larger in scale and more complex than any existing NRAO systems, developed in close collaboration with a leading national HPC center.
At NRAO, we are recruiting an experienced Software Engineer to design, implement, optimize, and maintain scientific applications and data-processing software executed on large-scale high-performance computing (HPC) systems. This role will prototype, develop, benchmark, and optimize mission-critical HPC software in collaboration with our external computing partners.
The role requires demonstrated proficiency in Python and C++, experience with parallel and distributed computing frameworks, and the ability to collaborate closely with domain scientists, systems engineers, and HPC support personnel. The successful candidate will contribute to the full software lifecycle -- from requirements analysis and algorithmic design through implementation, testing, optimization, and long-term maintainability -- within a performance-critical, research-driven environment.
This position ideally will be based either in Albuquerque, NM, or Socorro, NM but could also be based at our Charlottesville, VA or Green Bank, WV locations. For well qualified candidates, a remote work arrangement may be considered.
What You Will be Doing
The primary focus of this position will be prototyping, profiling and optimized cutting edge software for RADPS within the Data Processing group. Immediate activities may include (but are not limited to):
Software Design and Development
  • Develop high-performance scientific software in C++ and Python, including numerical algorithms, data-analysis pipelines, and simulation components.
  • Implement scalable solutions leveraging modern parallel programming.
  • Build Python interfaces, bindings, and workflow tooling around high-performance C++ cores.
  • Design modular, maintainable, and testable codebases following established software engineering best practices.

Performance Engineering and Optimization
  • Profile, benchmark, and optimize HPC applications for multi-core and distributed-memory systems.
  • Improve algorithmic efficiency, memory usage, I/O patterns, and data-movement behavior to achieve target throughput and scalability.
  • Work with HPC system engineers to tune application performance for specific architectures.

Scientific Workflow and Data Pipeline Development
  • Create robust, automated workflows for large-scale simulations, experiments, or data-processing tasks.
  • Integrate software with HPC schedulers, containerization technologies, and workflow engines.
  • Implement data ingestion, transformation, and storage strategies for multi-terabyte to petabyte-scale datasets.

Work Environment
The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Must be able to operate a personal computer. May occasionally work at high altitudes. Must be able to communicate effectively both verbally and in writing.
Who You Are:
  • You have a bachelor's degree in Computer Science, Engineering, Applied Mathematics, or related field
  • While not required, you may have an advanced degree in a related field (Ph.D. preferred for research-intensive domains).
  • You have at least three or more years of experience.

Competency Summary
  • Strong proficiency in Python and modern C++.
  • Experience with parallel programming paradigms and performance-profiling tools.
  • Familiarity with Linux development environments, version control, software build systems, and automated testing frameworks.
  • Ability to communicate effectively with both technical and scientific stakeholders
  • Prior contributions to open-source scientific computing libraries encouraged preferred.
  • Demonstrated experience developing scientific or numerical software for HPC systems.
  • Experience with workflow orchestration frameworks and HPC schedulers.
  • Background in numerical methods, computational physics, signal processing, or other scientific domains relevant to the organization.
  • Experience with large-scale data management strategies and parallel I/O libraries.
  • Familiarity with container technologies and reproducible science practices.
  • Experience with software engineering principles, working within an Agile framework, and experience in the complete product lifecycle are preferred.

Additional Requirement
Observatory employees must be authorized to work in the United States.
Total Rewards:
Associated Universities, Inc. (AUI) offers a comprehensive total rewards package for this position, subject to eligibility requirements. We are committed to serving our employees and their families with an extensive and competitive compensation and benefits package that supports our employees' overall well-being and career growth.
Compensation
AUI strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance.
For open rank positions, the starting salary/hourly rates for each level is between:
  • Position level 3 $79,000 and $120,000

Benefits
AUI's benefits package addresses the needs of employees and their families with most benefits beginning on the first day of employment. AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave). Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution; we also offer an optional supplemental, tax-deferred plan for employee retirement contributions.
Application Instructions:
Select the "Apply Now" button. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position
Equal Opportunity Employer Statement:
AUI is an equal opportunity employer. To view our complete statement, please visit https://public.nrao.edu/careers/. If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to resumes@nrao.edu. PM20