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Data Analyst Github Jobs in Florida (NOW HIRING)

The Data Analyst III will conduct applied empirical research in health economics, health services ... Experience with Git/GitHub for version control and collaborative project management. * Experience ...

The Data Analyst III will conduct applied empirical research in health economics, health services ... Experience with Git/GitHub for version control and collaborative project management. * Experience ...

Data Engineer

Juno Beach, FL

$111K - $134K/yr

Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build ... Git/GitHub * Cloud platforms: AWS/Azure/Google Cloud Platform * Data tools: Airflow, dbt, Spark ...

Data engineer

Tallahassee, FL · On-site

$108K - $130K/yr

... Analyze business and technical requirements and translate them into scalable data solutions. • ... GitHub Actions CI/CD pipelines. • MuleSoft development experience. • Snowflake Cortex ...

... flows, data models, and business rules. • Perform quality assurance and validation to ensure ... or GitHub for backlog management and tracking. • Experience developing and executing user ...

Your work will span the full lifecycle - from exploratory analysis through model deployment and ... Clean, testable code practices with Git-based version control (e.g., Databricks Repos, GitHub ...

Your work will span the full lifecycle - from exploratory analysis through model deployment and ... Clean, testable code practices with Git-based version control (e.g., Databricks Repos, GitHub ...

... or GitHub for backlog management and tracking. • Experience developing and executing user ... data analysis techniques and tools. • Strong strategic thinking and problem-solving abilities ...

This role blends full-stack Python development, geospatial analytics, dashboarding, DevSecOps ... Experience using Git-based version control platforms such as GitLab or GitHub. * Familiarity with ...

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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 Jun 12, 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.

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 on 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 are Data Analysts on 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.

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 cities in Florida are hiring for Data Analyst Github jobs? Cities in Florida with the most Data Analyst Github job openings:

Full-time

Posted 16 days ago


Job description


About Avalon Healthcare Solutions:

Avalon Healthcare Solutions is the nation’s leader in diagnostic intelligence, uniquely focused on transforming the role of diagnostic testing across the healthcare ecosystem. Our proprietary Diagnostic Insights Platform delivers evidence-based policies, curated lab networks, and real-time analytics that simplify complex diagnostics, accelerate innovation adoption, and optimize diagnostic investments.

Supporting over 30 health plans and 100 million members nationwide, Avalon partners with payers and providers to ensure diagnostic testing is performed appropriately, efficiently, and at the right time. Our flexible solutions span routine and genetic testing management, automated adherence, and end-to-end diagnostics support—driving measurable value, reduced waste, and improved clinical outcomes.

With unmatched scientific rigor, deep clinical expertise, and a performance-based model, Avalon is redefining how diagnostics power personalized care and healthcare value.
You will be part of a team that shapes a new market and business. Most importantly, you will help Avalon to achieve its mission and improve clinical outcomes and health care affordability for the people we serve.

For more information about Avalon, please visit www.avalonhcs.com.

Avalon Healthcare Solutions is an Equal Opportunity Employer - Vet/Disability.

This position description is subject to change at any time. As determined by the company based upon business needs, an employee in this position may be required to perform duties and take responsibility for work other than as described in this document.

About the Technical Data Analyst position:

The Technical Data Analyst is a key member of the Health Analytics team, reporting to the Manager of Health Analytics. This role is responsible for managing multiple core data functions in support of the Medical Economics, Financial Planning and Analysis, and Actuarial departments. The Technical Data Analyst provides technical expertise in the development and maintenance of key models, including underwriting and forecasting, preparing reports, supporting special projects, and delivering ad-hoc analyses. This position provides clear and accurate insights that inform business strategy and decision-making.

This position is eligible for remote work, but quarterly travel will be required to Avalon's corporate office located in Tampa, Florida.

Technical Data Analyst – Essential Functions and Responsibilities:

  • Creates and maintains SQL scripts and stored procedures to support underwriting, pricing, and ad-hoc analyses.
  • Analyzes structured and unstructured data models to provide actionable insights.
  • Develops, implements, and maintains automated and scheduled data processes and workflows.
  • Conducts data reconciliation to ensure accuracy, consistency, and integrity across systems.
  • Builds, maintains, and enhances Tableau dashboards and models to support business reporting and decision-making.
  • Analyzes client performance metrics and provides recommendations to drive business outcomes.
  • Perform data extraction, transformation, and loading (ETL) processes to support analytical and operational needs.

Technical Data Analyst – Minimum Qualifications:

  • Bachelor’s degree in Management Information Systems or related discipline
  • Skilled in writing SQL queries and interpreting results to drive data-informed decisions.
  • Experienced across the full data analysis lifecycle, including extraction, pre-processing, cleaning, mining, and visualization to deliver actionable insights.
  • Solid understanding of ETL concepts with hands-on experience in implementing ETL workflows.
  • Advanced knowledge of Microsoft Excel for data analysis, reporting, and visualization.
  • Excellent logical reasoning and organizational skills
  • Strong ability to capture, organize, and document complex and detailed information.
  • Comfortable managing multiple tasks and priorities simultaneously.
  • Proactive, self-driven learner who seeks clarity and asks insightful questions to deepen understanding.
  • Adept at identifying patterns and extracting actionable insights from complex, multi-dimensional data.
  • Strong communicator and collaborative team player, able to engage effectively within small teams and across departments.
  • Excels at connecting diverse concepts and rapidly synthesizing complex information to support effective decision-making.
  • Fast learner with the ability to adapt quickly to new tools, technologies, and evolving workflows.

Technical Data Analyst – Preferred Qualifications:

  • Experience with marketing automation platforms (ActiveCampaign, HubSpot, Salesforce Marketing Cloud, etc.)
  • Proficiency in creating and managing automated jobs and scripts.
  • Experienced with Business Intelligence tools, including Tableau, Power BI (Office 365), and MSBI (SSRS, SSIS, SSAS).
  • Hands-on experience with Snowflake and ETL processes.
  • Familiar with source control systems, such as GitHub, for version management and collaboration.
  • Skilled in Python programming for data analysis and automation.
  • Knowledge of AI tools (e.g., Cortex) and natural language querying for data insights.