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

Data Engineer[Hybrid]- (W2 ROLE)

Orlando, FL ยท On-site

$106K - $128K/yr

... analytic data solutions, leveraging GenAI. -Work with business and technology leaders to understand ... GitHub * 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA ...

Azure Data Engineer

Melbourne, FL ยท On-site

$62 - $141/hr

You'll sharpen your skills in analytical exploration and data examination while you support the ... Experience championing CI/CD practices for data pipelines deployments using Azure DevOps or GitHub ...

New

... data analysis, embedded systems, flight software interfaces, or device drivers. * Requirements and Configuration Management: Git/GitLab/GitHub, JIRA, Confluence, DOORS, Jama, or equivalent tools.

Develop and maintain data & messaging pipelines that connect micro-services and third-party ... Monitor production systems, respond to incidents, and drive root-cause analysis and continuous ...

PSA Engineer SCADA

Melbourne, FL ยท On-site

$50 - $80/hr

Experience doing data modelling. * 5+ years of work experience in customizing and delivering ... System configuration and Hands on Experience in GitHub and ClearCase * 5 years' experience on ...

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is ...

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Showing results 1-20

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.

Data Engineer[Hybrid/Remote]-(W2 ROLE)

SmartIPlace

Orlando, FL โ€ข On-site

$77/hr

Contractor

Re-posted 25 days ago


Job description

Tile: Data Engineer

Main technologies needed is experience with Gen AI, SQL, Python. 

  • 12 month contract, can extend to 24 months
  • Pay rate Candidate $77/hr. on W2
  • Visa: USC, GC, GC_EAD, H4-EAD
  • Hybrid, 3 days onsite, 2 remote
  • Orlando Locals Highly preferred 

Team/Business Segment:
The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization, and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company.

Responsibilities/What You Will Do:
-Planning and leading research and development related to advanced analytic data solutions, leveraging GenAI.
-Work with business and technology leaders to understand scope and requirements, business needs, and data from across the company in order to design and deliver the data pipelines necessary for best solutions.
-Consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders.

Requirements:

  • 7+ years experience in data engineering development using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment
  • Experience with a variety of GenAI models, tools, and concepts
  • 5+ years of shown experience and expertise using SQL and Python
  • 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL)
  • Experience translating project scope and high-level requirements into technical data engineering tasks
  • Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
  • Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms
  • 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub
  • 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4
  • Multiple years of experience with ELT/ETL data pipeline development and maintenance
  • Experience using containerization technologies such as Docker or Kubernetes

Education:

  • Bachelor’s degree (Computer Science, Mathematics, Software Engineering or related field, or equivalent experience)

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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