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Data Analyst Python Sql Jobs in Jupiter, FL (NOW HIRING)

Salesforce, Apex, Lightning Web Components, C#, .NET, Java, Python, SQL, JavaScript, or PowerShell ... Strong knowledge of relational databases, SQL development, troubleshooting, and data analysis.

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

Lead Data Scientist

Stuart, FL · On-site

$144K - $198K/yr

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

Showing results 21-40

Data Analyst Python Sql information

See Jupiter, FL salary details

$33.2K

$80.8K

$133K

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

As of Aug 17, 2026, the average yearly pay for data analyst python sql in Jupiter, FL is $80,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,800.00 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 job categories do people searching Data Analyst Python Sql jobs in Jupiter, FL look for?

The top searched job categories for Data Analyst Python Sql jobs in Jupiter, FL are:

What cities near Jupiter, FL are hiring for Data Analyst Python Sql jobs?

Cities near Jupiter, FL with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in Jupiter, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,808 per year, or $38.9 per hour.

Full Stack Engineer (AWS / Node.js / Angular)

Delan Associates, Inc

Jupiter, FL

Contractor

Posted 19 days ago


Job description

Job Description:

We are seeking a Full Stack Engineer to develop, maintain, and enhance enterprise applications, integrations, and data solutions. This role will work across front-end, back-end, database, cloud, and reporting technologies to deliver scalable business solutions while supporting Agile development practices.

Responsibilities

  • Design, develop, test, and support full-stack applications and APIs.
  • Build and maintain web applications using Angular, TypeScript, Node.js, and NestJS.
  • Develop and optimize SQL and PostgreSQL databases.
  • Create Power BI dashboards, reports, and data visualizations.
  • Develop integrations and workflow automations across enterprise systems.
  • Support AWS cloud-based applications and services.
  • Troubleshoot and resolve application and data issues.
  • Collaborate with business stakeholders, analysts, and development teams.
  • Participate in Agile ceremonies and contribute to technical documentation.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 5+ years of full-stack development experience.
  • Experience with:
    • TypeScript, Node.js, NestJS, and Angular
    • Python
    • SQL and PostgreSQL
    • REST API development and integrations
    • AWS (Lambda, ECS, S3, CloudFormation, CloudWatch, Secrets Manager)
    • Git and Docker
    • Power BI

Preferred Qualifications

  • Experience with CI/CD and DevOps practices.
  • Experience with database design, indexing, and performance tuning.
  • Familiarity with Jira, Playwright, and automated testing tools.
  • Experience with AWS Glue, SNS, and SQS.
  • Knowledge of SCADA, ERP integrations, or regulated environments.
  • AWS, Agile, Scrum, SAFe, PMP, or Power BI certifications.
Employment Type: CONTRACTOR