ZipRecruiter

Log In

1

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

Foundation Partners

Senior Data Engineer

Orlando, FL · On-site

$99K - $134K/yr

Version control and DevOps: Git, GitHub, pull request workflows, and CI/CD pipelines. * Data Visualization: Power BI, Tableau. * Strong analytical problem-solving -- able to decompose ambiguous ...

KPMG US

Data Scientist- Associate

Orlando, FL · On-site

$55K - $55K/yr

... Github • Strong analytical and problem-solving skills, with an eagerness to learn and a ... Science, Data Science, Statistics, or a related quantitative discipline is preferred • ...

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 ...

RXinsider LTD.

Staff Data Engineer

Orlando, FL · On-site

$150 - $210/hr

Define and implement QA processes such as code review and static analysis. Create testing ... Build and maintain CI/CD pipelines using tools such as GitHub Actions, Concourse, or similar ...

WFNQASD5

BVT Analyst_07/04/2026_Edit

Orlando, FL · On-site

$89 - $159/hr

... GitHub Actions >> Data & Integration - Design and optimize database schemas (PostgreSQL / MySQL ... and analytical skills + Experience with distributed systems + Agile / Scrum team experience ...

AVTC Group

Avionics Engineer (C&DH)

Titusville, FL · On-site

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

Versant Media

Senior Full Stack Engineer

Orlando, FL · On-site

Fandango 360 is a customer analytics and audience management platform that gives movie studios the ... Experience with GitHub Actions, AWS Secrets Manager, SSM, Cypress, or AWS data services including ...

USM

Lead Android Developer

Orlando, FL · On-site

... 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 ...

next page

Showing results 1-20

All JobsData Analyst Github JobsData Analyst Github Jobs in Orlando, FL

Data Analyst Github information

See Orlando, FL salary details

$31.7K

$77.1K

$126.9K

How much do data analyst github jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst github in Orlando, FL is $77,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,500.00 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 Orlando, FL?

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

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

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

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

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

Data Analyst Github jobs near you

Senior Data Engineer

Foundation Partners

Orlando, FL • On-site

$99K - $134K/yr

Full-time

Posted 4 days ago

Key responsibilities

  • Design, build, and operate modern data platforms and pipelines across cloud environments.

  • Develop and deploy containerized data processing jobs using Azure Container Apps Jobs, including scheduling and scaling.

  • Collaborate with teams to deliver data models and ensure data infrastructure performance, security, and maintainability.

Job description

We are looking for a Senior Data Engineer to design, build, and operate modern data platforms at scale. You will work across cloud-native Azure infrastructure, Microsoft Fabric, Azure SQL, and AWS, building reliable pipelines, performant data models, and self-service analytics that drive real business decisions. A meaningful part of this role involves containerized workload execution -- designing and deploying pipeline jobs using Azure Container Apps Jobs for scheduled and event-driven data processing. This is a hands-on role suited for an engineer who thrives in ambiguity, values clean architecture, and moves comfortably between strategy and implementation.
RESPONSIBILITIES
Data Platform and Architecture
  • Design and build scalable data pipelines using Python and cloud-native orchestration tools, including Azure Data Factory, Azure Container Apps Jobs, and Fabric Data Pipelines.
  • Architect data solutions across Microsoft Fabric Warehouses, Azure SQL Database, and AWS (S3, Redshift), selecting the right tool for the workload.
  • Implement Medallion/layered architecture patterns (Bronze to Silver to Gold) for structured, governed data delivery.
  • Manage and optimize large-scale data warehouse environments with a focus on performance, cost, and maintainability.

Pipeline Development and Integration
  • Develop Python-based ETL/ELT pipelines to ingest and transform data from APIs, flat files, databases, and SaaS platforms.
  • Build and deploy containerized pipeline jobs using Azure Container Apps Jobs, including scheduling, scaling rules, secrets management via Azure Key Vault, and integration with Azure Container Registry.
  • Build and maintain data movement between on-premises SQL Server environments and cloud targets.
  • Design idempotent, fault-tolerant pipeline patterns with robust logging, alerting, and retry logic.
  • Collaborate with analytics and reporting teams to deliver clean, well-documented data models for Power BI or similar BI tools.

Cloud Infrastructure and Operations
  • Manage data infrastructure across Azure (Fabric, Azure SQL, Azure Data Lake, Key Vault, Container Apps, Container Registry) and AWS (S3, EC2, RDS/Redshift).
  • Containerize data workloads using Docker; deploy and operate them as Azure Container Apps Jobs for scheduled batch processing and event-triggered pipeline execution.
  • Implement infrastructure-as-code principles and version-controlled deployment practices using GitHub, Bicep or Terraform, and CI/CD tooling (Azure DevOps or GitHub Actions).
  • Monitor platform health, optimize compute and storage costs, and enforce data security and access governance.

Collaboration and Engineering Excellence
  • Partner with data analysts, BI developers, software engineers, and business stakeholders to translate requirements into technical solutions.
  • Maintain thorough technical documentation: pipeline specs, data dictionaries, runbooks, and architecture diagrams.
  • Champion engineering best practices: code reviews, testing, modular design, and reusable frameworks.
  • Mentor junior engineers and contribute to team standards and knowledge sharing.

REQUIREMENTS
  • Python: fluent in writing production-grade pipelines, data transformations, and automation scripts.
  • RDBMS: Advanced T-SQL and/or ANSI SQL; experience with SQL Server, Azure SQL DB, and cloud warehouse query engines (Redshift, Fabric).
  • MS Fabric: Warehouses, Lakehouses, Data Pipelines, OneLake, and Fabric's unified analytics model.
  • Azure ecosystem: Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, Azure Key Vault, Azure Container Apps Jobs, Azure Container Registry, and related services.
  • Containerization: Docker image development, container registry management, and deploying workloads as Container Apps Jobs with schedule and event triggers, scaling rules, and environment variable/secret injection.
  • AWS data services: S3 for data lake storage, Redshift for cloud data warehousing.
  • Data modeling: dimensional modeling, star/snowflake schema design, and entity-relationship modeling for both OLTP and OLAP workloads.
  • Version control and DevOps: Git, GitHub, pull request workflows, and CI/CD pipelines.
  • Data Visualization: Power BI, Tableau.
  • Strong analytical problem-solving -- able to decompose ambiguous business problems into clean technical solutions.
  • Clear written and verbal communication with both technical peers and non-technical stakeholders.
  • Self-directed with strong attention to detail; comfortable owning work end-to-end.

Experience
  • 5 to 8 years of hands-on data engineering experience in production environments.
  • Proven track record designing and delivering data platforms on Azure and/or AWS.
  • Demonstrated experience migrating or modernizing legacy on-premises data infrastructure to cloud-native solutions.
  • Hands-on experience running workloads with Azure Container Apps Jobs or a comparable containerized job execution platform.

PREFERRED QUALIFICATIONS
  • Experience with MS Fabric in a production capacity, including Fabric Warehouses and OneLake integration.
  • Familiarity with dbt (data build tool) or similar transformation frameworks.
  • Exposure to streaming or near-real-time data ingestion patterns (Event Hub, Kafka, Kinesis).
  • Experience with Workday, Adaptive Planning, or other ERP/FP&A source systems.
  • Power BI experience including semantic model development, dataset optimization, or DirectQuery/Import mode tradeoffs.
  • Agile/Scrum team experience; comfort working in iterative delivery cycles.
  • Relevant cloud certifications: Microsoft Azure Data Engineer (DP-203), AWS Certified Data Analytics, or equivalent.
  • Bachelor's degree in Computer Science, Information Systems, Data Science or a related field. In lieu of formal education, equivalent professional experience demonstrating the same depth of knowledge is accepted.

Apply