1

Data Analyst Github Jobs in Cocoa, FL (NOW HIRING)

PUMA operates 24/7 in redundant operational environments and integrates data from Department of ... as GitHub, GitLab, or Bitbucket. * Strong debugging, problem-solving, and analytical skills.

Software Developer

Melbourne, FL · On-site

$91K - $161K/yr

... 2" data-turn-id-container="request-69c533ce-c124-832b-910b-0c09ece1ab23-2" data-testid ... GitHub Actions) • Understanding of secure coding practices and development in classified or ...

Software Developer

Melbourne, FL · On-site

$91 - $162/hr

Strong troubleshooting and analytical skills across application and cloud environments * Ability to ... Privacy Your data privacy is important to ENSCO. Please click here to view our privacy policy.

Sr.Full stack Developer

Orlando, FL · On-site

$49 - $63.25/hr

Implement data persistence and complex queries using JPA with relational or NoSQL databases ... Experience with Git and CI/CD tools (e.g., GitHub Actions). * Excellent communication skills and a ...

Software Developer

Melbourne, FL · On-site

$91K - $161K/yr

Strong troubleshooting and analytical skills across application and cloud environments * Ability to ... Privacy Your data privacy is important to ENSCO. Please click here to view our privacy policy.

Support development of scenarios for Local Control (LC), Ground Control (GC), Flight Data (FD ... A strong portfolio, GitHub repository, published flight simulation modifications, or demonstrated ...

... forensic analysts. The role will be based in Orlando, FL and is an in-office position. KEY ... Hands-on experience with GitHub Actions, CI/CD pipelines, and multi-target build orchestration ...

Showing results 41-60

Data Analyst Github information

See Cocoa, FL salary details

$29.8K

$72.3K

$119K

How much do data analyst github jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst github in Cocoa, FL is $72,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $84,900.00 per year, depending on experience, location, and employer.

What is a data analyst at GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

How does a data analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a data analyst at GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What job categories do people searching Data Analyst Github jobs in Cocoa, FL look for?

The top searched job categories for Data Analyst Github jobs in Cocoa, FL are:

What cities near Cocoa, FL are hiring for Data Analyst Github jobs?

Cities near Cocoa, FL with the most Data Analyst Github job openings:

Infographic showing various Data Analyst Github job openings in Cocoa, FL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,337 per year, or $34.8 per hour.

Software Engineer (TS/SCI)

Vantor

Melbourne, FL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
This position requires an active U.S. Government Security Clearance at the TS/SCI level and eligible for a CI Polygraph.
Vantor is seeking a Software Engineer to support the development, integration, and operational deployment of software algorithms for mission-critical systems. This role requires strong software engineering skills, comfort with mathematical and scientific computing concepts, and the ability to turn prototype algorithms into reliable operational software.
This position supports PUMA, the U.S. Intelligence Community's Program of Record missile warning system. PUMA operates 24/7 in redundant operational environments and integrates data from Department of Defense and Intelligence Community OPIR, or Overhead Persistent Infrared, sensors to generate 3D fused missile tracks used for tactical and strategic missile warning.
Responsibilities:
  • Convert algorithm definitions and prototypes into robust software applications that run efficiently on large image and sensor data sets.
  • Develop operational-quality software that is reliable, extensible, maintainable, and performant.
  • Apply software engineering standards and development processes to produce high-quality software packages.
  • Build, maintain, and improve automated test, verification, and validation tools.
  • Debug, refactor, and modernize existing software codebases for new systems and platforms.
  • Participate in the full software development lifecycle, including planning, requirements analysis, design, implementation, build, documentation, testing, deployment, and maintenance.
  • Collaborate with algorithm developers, systems engineers, testers, and operational stakeholders to deliver mission-ready capabilities.

Minimum Qualifications:
  • Active Top Secret security clearance with eligibility for SCI.
  • Ability to obtain and maintain TS/SCI access with CI polygraph, if not already held.
  • Bachelor's degree in Computer Science, Software Engineering, Mathematics, Physics, Engineering, or a related technical field. Five years of relevant professional experience may be considered in lieu of degree.
  • 5+ years of experience in software engineering, scientific programming, algorithm implementation, or related technical fields.
  • Strong software development experience in C++, with an emphasis on building reliable, maintainable production software.
  • Experience developing, integrating, or supporting microservices in operational or production environments.
  • Experience using Git-based version control systems such as GitHub, GitLab, or Bitbucket.
  • Strong debugging, problem-solving, and analytical skills.
  • Ability to work in a mission-focused environment with high reliability and operational expectations.

Preferred Qualifications:
  • Familiarity with estimation techniques such as Kalman filtering.
  • Familiarity with orbital mechanics, missile warning, tracking, sensor fusion, or related mission domains.
  • Experience with scientific computing, image processing, signal processing, or large-scale data processing.
  • Experience with Agile or other formal software development methodologies.
  • Experience with Docker, Kubernetes, or other container platforms.
  • Experience developing software for Linux environments.
  • Experience with automated testing, CI/CD pipelines, or verification and validation frameworks.
  • Familiarity with operational systems, high-availability environments, or mission-critical software delivery.

#cjpost
#LI-BP
##LI-Onsite
Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
The base pay for this position ranges from our lowest geographic market up to our highest geographic market within California, Colorado, District of Columbia, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, and Washington:$95,000.00 - $201,000.00 annually.
We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. You can find more information on our benefits at: https://www.vantor.com/careers
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
Vantor values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.