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Data Analyst Github Jobs in Florida (NOW HIRING)

Ruri Software Technologies LLC

Sr Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

... Data Analytics tools (Ex: Big Query, Cloud Composer, Data Fusion) • In-depth knowledge of SQL ... CI/CD, GitHub, Terraform, Jenkins, etc.) • Oracle PL/SQL (Required) [ 3+ years of Exp] • Apache ...

Pursuit Aerospace

Lead Data Scientist

Stuart, FL · On-site

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

Pursuit Aerospace

Lead Data Scientist

Stuart, FL · On-site

$144K - $198K/yr

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

SmartIPlace

Data Engineer[Hybrid]- (W2 ROLE)

Orlando, FL · 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 ...

Bridgeway Benefit Technologies

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

... with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required. * Azure DevOps; GitHub CoPilot ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

This position sits in our Enterprise Data and Analytics team, which aims to drive improved business ... Version control & branching strategies (Github a plus) * Proficient in languages: SQL, Python

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All JobsData Analyst Github JobsData Analyst Github Jobs in Florida

Data Analyst Github information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do data analyst github jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst github in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 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 are popular job titles related to Data Analyst Github jobs in Florida?

For Data Analyst Github jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Analyst Github jobs in Florida look for?

The top searched job categories for Data Analyst Github jobs in Florida are:

What cities in Florida are hiring for Data Analyst Github jobs?

Cities in Florida with the most Data Analyst Github job openings:

Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Sr Data Engineer

Ruri Software Technologies LLC

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Re-posted 19 days ago

Job description

Job Title: Sr Data Engineer
Work Location: Tampa, FL
Duration: 8+ Months
Job Description:
• Data Management -BigQuery big data hive GCP components
• In this role, you will be part of Trane Technologies' Data Engineering team, providing solutions and data to enable Trane Technologies to achieve premier performance.
• As part of a global team, this role provides development expertise in the areas of Extract, Transform and Load (ETL), along with database development on a global data warehouse and reporting environment, including technologies like Big Query, Cloud Composer, Cloudera Roles & Responsibilities
• Develop ETL and database components independently following specifications, standards, and global best practices
• Develop ETL and database components following standard software development lifecycle.
• Support existing ETLs though break fix and enhancements
• Participate in code reviews to ensure that ETL and database components conform to global standards.
• Effectively communicate issues and manage the issues to resolution
• Work as part of global development team developing ETLs and database components
• Follow standard Software development Lifecycle practices in development of ETL and database objects Technical Skills
• Experience with GCP (Google Cloud Platform) based Data Analytics tools (Ex: Big Query, Cloud Composer, Data Fusion)
• In-depth knowledge of SQL (plSQL, Hive, Impala, Oracle) and databases
• Experience with Big Data processing frameworks and tools (Cloudera, Sqoop, Hive, Impala, Spark)
• Experience with Informatica and OBIEE
• Experience software development on a team using Agile methodology
• Experience with DevOps tools and techniques (Ex: CI/CD, GitHub, Terraform, Jenkins, etc.)
• Oracle PL/SQL (Required) [ 3+ years of Exp]
• Apache Spark (Nice to have) [1+ years of Exp]
• Understanding on Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing Dimensions
• Understanding of ETL process and development
• Develop ETL and database components independently following specifications, standards, and global best practices
• Develop ETL and database components following standard software development lifecycle.
• Support existing ETLs though break fix and enhancements
• Participate in code reviews to ensure that ETL and database components conform to global standards.
• Effectively communicate issues and manage the issues to resolution
• Work as part of global development team developing ETLs and database components
• Follow standard Software development Lifecycle practices in development of ETL and database

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