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

Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow ... Statistical analysis and modeling * Data visualization tools (Matplotlib, Seaborn, Plotly) * SQL ...

Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow ... Statistical analysis and modeling * Data visualization tools (Matplotlib, Seaborn, Plotly) * SQL ...

This role supports ingestion, processing, storage, labeling, and analysis of time-series acoustic ... Strong proficiency in Python for data engineering and automation Experience building and ...

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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 15, 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 Analytics Manager 2

$126K - $189K/yr

Full-time

Medical, Life, PTO

Re-posted yesterday


Northrop Grumman rating

8.1

Company rating: 8.1 out of 10

Based on 352 frontline employees who took The Breakroom Quiz

107th of 527 rated manufacturers


Job description

RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman Aerospace Systems (NGAS) is seeking a Data Analytics Manager to lead the Program Management (PM) Data Strategy & Analytics activities. The team is responsible for establishing a culture of data driven decision making and creating business value through promoting the application of data analytics and Artificial Intelligence (AI) tools and techniques across a broad range of business areas. They will regularly interact with key stakeholders to identify, develop, and deploy data analytics systems that are aligned to our strategic roadmap. The successful candidate must be entrepreneurial and a self-starter with the ability to challenge the status quo.

This role is hybrid and requires regular onsite presence in Melbourne, FL. Candidates must be within a commutable distance of the Melbourne site.

Job Responsibilities

  • Develop and implement the NGAS PM Data Strategy, in support the Enterprise Data Strategy

  • Lead the execution of NGAS PM data analytics and AI activities

  • Proactively identify issues and inefficiencies within the business to develop and deploy solutions

  • Drive the adoption of data analysis methodologies across sector and program operations for improved performance analysis

  • Lead the monitoring and analysis of operational data to identify trends, issues and opportunities, and provide recommendations/solutions

  • Actively engage with sector leaders and key stakeholders to identify and understand operational issues and develop solutions

  • Design and manage the NGAS PM data infrastructure and automation

  • Design, develop, and maintain scalable data pipelines and ETL processes across multiple data sources

  • Build and optimize data models (star, snowflake, data vault) for analytics and reporting

  • Implement robust data quality, validation, and monitoring frameworks to ensure reliability of downstream insights

Basic Qualifications:
  • Bachelor's degree in STEM related discipline and 9 years minimum of related experience OR Master's degree with STEM 7 years of related Data Analytics as defined below.

  • 2 years as a technical leader of product development teams that have successfully delivered customer-driven products

  • Strong proficiency in SQL and Python.

  • Strong proficiency developing and deploying Tableau dashboards and the ability to translate business needs into visual insights.

  • Excellent ability to communicate complex analytical subject matter across varied audiences

  • Strong understanding of business and engineering processes, tools, and techniques

  • Experience with large scale distributed software and agile software development methodologies

  • Proven ability to lead and inspire cross-functional teams

  • Experience with UX design and development

  • Must possess an active US Government Secret clearance with the ability to obtain Special Access Program (SAP) clearances

Preferred Qualifications:
  • Master's Degree in Engineering, Mathematics, Statistics, or Computer Science

  • Software development experience

  • Demonstrated experience developing product visions and fostering effective engineering teams

  • Experience collecting, analyzing, and synthesizing insights from multiple data sources

  • Understanding of Northrop Grumman policy, process, and products

  • Ability to make decisions with minimal support

  • Experience in a program management role

  • Current Special Access Program (SAP) clearances.

Primary Level Salary Range: $126,600.00 - $189,800.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939