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

ENSCO, Inc.

Data Engineer III

Melbourne, FL · On-site

$73K - $131K/yr

This role supports ingestion, processing, storage, labeling, and analysis of time-series acoustic ... Python for data engineering and automation • Experience building and maintaining ETL/ELT ...

City of Palm Bay

Workday Systems Analyst

Palm Bay, FL · On-site

$72K - $118K/yr

Experience with SQL, ETL or analytics tools required. PRISM or BIRT experience preferred ... Two (2) years of proven expertise in data analysis and Workday reporting techniques required. Two ...

Lantern

Strategy Analyst

Melbourne, FL · On-site

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

City of Palm Bay, FL

Workday Systems Analyst

Palm Bay, FL · On-site

$72K - $118K/yr

Experience with SQL, ETL or analytics tools required. PRISM or BIRT experience preferred ... Two (2) years of proven expertise in data analysis and Workday reporting techniques required. * Two ...

Actionable Outcomes

General Application

Melbourne, FL · On-site

$75K - $130K/yr

... Analyst skills we look for: * Working knowledge of Structured Query Language (SQL) and data ... Familiarity with Python, R and other statistical tools is a plus Project Management skills we look ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Melbourne, FL

Data Analyst Python Sql information

See Melbourne, FL salary details

$31.5K

$76.6K

$126.1K

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

As of Jul 16, 2026, the average yearly pay for data analyst python sql in Melbourne, FL is $76,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,900.00 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 Melbourne, FL? For Data Analyst Python Sql jobs in Melbourne, FL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Melbourne, FL look for? The top searched job categories for Data Analyst Python Sql jobs in Melbourne, FL are:
What cities near Melbourne, FL are hiring for Data Analyst Python Sql jobs? Cities near Melbourne, FL with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

General Application

Actionable Outcomes LLC

Melbourne, FL • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Salary: $75,000 - $130,000 annually

General Application

Remote, USA

$75,000 - $130,000 annually + Benefits

Must be a US citizen, No sponsorship available

2-5 years experience

Actionable OutcomesLLC(AO) is a dynamic and innovative Counter Fraud Analytics and Software Development Companythat'sdedicated to creating advanced technologies that allow our clients to fight fraud faster and more efficiently.With decades of fraud experience, our goal is to help businesses achieve their strategic goals through actionable insights and tailored solutions.

Our team of experienced professionals brings a wealth of knowledge in various industries, enabling us to provide customized strategies that drive measurable results.At AO, we believe in the power of data-driven decision-making and are committed to delivering exceptional value to our clients.Whether you are looking tooptimizeoperations, enhance customer experience, or drive growth, we are here to turn your vision into reality.

We are always seeking
Business Analysts, Project Managers
and Software Developers who are reliable, enthusiastic, and team oriented!

Business Analyst skills we look for:

  • Working knowledge of Structured Query Language (SQL) and data manipulation tools.
  • Strong understanding of Excel with the ability to run pivot tables.
  • Experience with Jira or similar ticketing systems.
  • Familiarity with Python, R and other statistical toolsis a plus

Project Management
skills we look for:

  • Understanding of project management methodology/skills:
    • AGILE, Sprints, Scrum, Waterfall model, User Stories.
  • Ability to verify that scope and deliverables match requirements and align within project goals.
  • Knowledge of Structured Query Language (SQL).
  • Experience with Jira or similar ticketing systems.

Software Development
skills we look for:

  • Working knowledge of Rust orNixOS or otherwise deploying within virtualized environments.
  • Working knowledge of front-end programming, e.g.React, Angular, Shiny, Dash.
  • Professional experience with source control.
  • Professional experience maintaining middleware services, e.g. Keycloak, Vault.
  • Develop, Design, Deploy and Maintain Applications

Benefits:

  • Paid time off 11 holidays plus vacation and sick time.
  • Health & Dental Insurance, voluntary employee-paid Vision Insurance.
  • 401k Our 401k plan matches up to 3.5% of your income (SIMPLE IRA capped at 3%).