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Contract Python Data Analysis Jobs in Melbourne, FL

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Contract Python Data Analysis information

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$12

$54

$79

How much do contract python data analysis jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for contract python data analysis in Melbourne, FL is $54.34, according to ZipRecruiter salary data. Most workers in this role earn between $44.81 and $61.73 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

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

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are popular job titles related to Contract Python Data Analysis jobs in Melbourne, FL?

For Contract Python Data Analysis jobs in Melbourne, FL, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Melbourne, FL look for?

The top searched job categories for Contract Python Data Analysis jobs in Melbourne, FL are:

What cities near Melbourne, FL are hiring for Contract Python Data Analysis jobs?

Cities near Melbourne, FL with the most Contract Python Data Analysis job openings:

Contract Python Data Analysis jobs near you

Specialist, Software Engineer - Data Analyst TS/SCI

L3HHCM20

Melbourne, FL

$106K - $127K/yr

Full-time

Posted 24 days ago

Job description

Job Title: Specialist, Software Engineer/Data Analyst

Job Code: 40175

Job Location: Melbourne, FL

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

 

Job Description:

We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance.  Periodic commute to Patrick Space Force Base may be required. 

The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. 

Essential Functions:

  • Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations.
  • Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices.
  • Develop secure and scalable back-end services and application logic to support mission applications and workflows.
  • Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective.
  • Integrate cloud-native services, databases, and application components across distributed environments.
  • Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines.
  • Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions.
  • Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality.
  • Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals.
  • Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities.
  • Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information.
  • Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment.
  • Familiarity with the C2S Access Portal (CAP) and high-side AWS environments.
  • Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores.
  • Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position.

Qualifications:

  • Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
  • Active TS/SCI clearance.

Preferred Additional Skills:

  • Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction.
  • Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired.
  • Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development.
  • Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS.
  • Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar.
  • Experience with RESTful APIs, microservices, and application integration patterns.
  • Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices.
  • Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred.
  • Experience building and deploying mission applications in classified or high-security environments.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar.

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