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

BankUnited

Cloud Data Engineer II

Miami Lakes, FL · On-site

$50.50 - $67.50/hr

Designs, develops, and implements cloud-based data and analytics solutions leveraging AWS ... Experience with CI/CD practices and tools such as Git, GitHub, Jenkins, GitHub Actions, Terraform ...

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

Lennar Homes

Lead Data Engineer

Miami, FL · On-site

$98K - $129K/yr

Instrument data analytics platforms with robust metrics, alerting, and automated monitoring (SLAs ... Advanced Git/GitHub branching strategies, pull request enforcement, and automated deployment ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Instrument data analytics platforms with robust metrics, alerting, and automated monitoring (SLAs ... Advanced Git/GitHub branching strategies, pull request enforcement, and automated deployment ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Instrument data analytics platforms with robust metrics, alerting, and automated monitoring (SLAs ... Advanced Git/GitHub branching strategies, pull request enforcement, and automated deployment ...

Lennar

Lead Data Engineer

Miami, FL · On-site +1

$98K - $129K/yr

Instrument data analytics platforms with robust metrics, alerting, and automated monitoring (SLAs ... Advanced Git/GitHub branching strategies, pull request enforcement, and automated deployment ...

Rightway

Data Engineer III

Miami, FL

$125K - $150K/yr

... and analytical query optimization. * Leverage AI tools and large language models to augment ... GitHub Copilot, LLM-assisted development) into an engineering workflow to improve speed and quality.

Royal Caribbean Group

Engineer, Platform

Miami, FL · On-site

The Royal Caribbean Group's AI & Analytics Team has an exciting career opportunity for a full time ... Data Office. This individual will serve as a key administrator of our GitHub and Azure DevOps ...

Coderio

Sr Devops Engineer

Miami, FL · On-site

$124K - $159K/yr

This is a highly specialized, hands-on engineering role where you will act as GitHub administrator ... If you would like more information about how your data is processed, please contact us.

Coderio

Sr Devops Engineer

Miami, FL

$124K - $159K/yr

This is a highly specialized, hands-on engineering role where you will act as GitHub administrator ... If you would like more information about how your data is processed, please contact us. apply for ...

Coderio

Sr Devops Engineer

Miami, FL

$124K - $159K/yr

This is a highly specialized, hands-on engineering role where you will act as GitHub administrator ... If you would like more information about how your data is processed, please contact us.

Lennar

Sr Cloud Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

Support AWS cloud infrastructure for Data & Analytics and AI platforms, including data lakes ... Proven experience using Terraform, GitHub, and Amazon Web Services (AWS). * Strong hands-on ...

Lennar Homes

Sr Cloud Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

Support AWS cloud infrastructure for Data & Analytics and AI platforms, including data lakes ... Proven experience using Terraform, GitHub, and Amazon Web Services (AWS). Strong hands-on ...

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

Data Analyst Github information

See Miami, FL salary details

$32.5K

$79K

$130.1K

How much do data analyst github jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data analyst github in Miami, FL is $79,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,800.00 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 are popular job titles related to Data Analyst Github jobs in Miami, FL? For Data Analyst Github jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Github jobs in Miami, FL look for? The top searched job categories for Data Analyst Github jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Analyst Github jobs? Cities near Miami, FL with the most Data Analyst Github job openings:
Data Analyst Github jobs near you
Cloud Data Engineer II

Cloud Data Engineer II

BankUnited

Miami Lakes, FL • On-site

$50.50 - $67.50/hr

Full-time

Posted 15 days ago

BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

70th of 170 rated banks

Job description

JOB SUMMARY: The Cloud Data Engineer II will play a pivotal role in managing and optimizing cloud infrastructure and services. This position is responsible for implementing and maintaining cloud-based solutions to support the organization's data and analytics initiatives. The ideal candidate will have a strong background in cloud data engineering, with expertise in AWS and Snowflake data platforms.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Designs, develops, and implements cloud-based data and analytics solutions leveraging AWS, Snowflake, dbt, and related technologies.
  • Builds, maintains, and optimizes scalable data pipelines, ELT processes, and transformation frameworks supporting enterprise reporting, analytics, and AI/ML initiatives.
  • Ingests and integrates data from diverse sources, including relational databases, APIs, and streaming platforms, into cloud data lakes and data warehouses.
  • Develops and maintains reusable dbt models and data transformation frameworks in accordance with enterprise data modeling, governance, and coding standards.
  • Designs and optimizes data models for performance, scalability, storage efficiency, and analytics using Redshift, Athena, DynamoDB, Snowflake, and other cloud-native technologies.
  • Automates and orchestrate data workflows using AWS Glue, Step Functions, Apache Airflow, dbt Cloud, and related tools.
  • Implements data quality, reconciliation, monitoring, lineage, and auditing controls to ensure trusted, reliable, and compliant data assets.
  • Ensures solutions adhere to enterprise data governance, information security, risk management, and regulatory requirements, including appropriate data access controls and encryption standards.
  • Monitors, support and maintain cloud data platforms, pipelines, and infrastructure to ensure operational stability, reliability, and cost efficiency.
  • Participates in production support activities, including incident management, root cause analysis, problem resolution, and continuous service improvement initiatives.
  • Proactively monitors platform and pipeline performance, identifying and resolving issues before they affect business operations.
  • Supports CI/CD processes through source control, automated testing, and deployment methodologies to enable efficient and reliable solution delivery.
  • Leverages Infrastructure-as-Code (IaC) and automation practices to improve platform consistency, scalability, reliability, and operational efficiency.
  • Collaborate with cross-functional teams to establish cloud architecture standards, best practices, and continuous improvement initiatives.
  • Provides technical leadership, mentorship, and support to junior team members and business partners.
  • Troubleshoots complex technical issues across cloud infrastructure, data platforms, and integration services.
  • Stays current with emerging cloud, data engineering, analytics, and AI technologies to drive innovation and operational excellence.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.

SUPERVISORY RESPONSIBILITIES
• N/A
QUALIFICATIONS
Education
  • Bachelor's Degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field.
  • Equivalent combination of education and relevant experience may be considered.

Experience
  • Minimum of 3 years of experience in Data Engineering, Cloud Engineering, or a related technology role, required.
  • Hands-on experience designing and supporting cloud-based data solutions utilizing AWS services, required.
  • Experience with Snowflake Data Cloud, including data modeling, performance optimization, and security best practices, required.
  • Experience developing and maintaining data transformation frameworks using dbt Cloud and/or dbt Core, required.
  • Strong proficiency in SQL, Python, and PySpark for data transformation, automation, and analytics workloads, required.
  • Experience building and supporting ETL/ELT pipelines in cloud environments, required.

Preferred Qualifications
  • Experience with CI/CD practices and tools such as Git, GitHub, Jenkins, GitHub Actions, Terraform, or similar technologies.
  • Experience with workflow orchestration tools such as Apache Airflow, AWS Step Functions, or similar platforms.
  • AWS, Snowflake, or dbt certifications.
  • Experience in financial services, banking, or other highly regulated industries.
  • Exposure to data analytics, machine learning, or AI-enabled data platforms.

Licenses and Certifications
Relevant certifications such as AWS Certified Solutions Architect, Azure Solutions Architect, or similar are preferred.
Knowledge, Skills, and Abilities
  • Strong understanding of cloud architecture, including infrastructure as code (IaC) and containerization technologies.
  • Familiarity with serverless architectures for data processing
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Knowledge of data warehousing and business intelligence best practices.
  • Familiarity with big data technologies such as Hadoop, Spark, and Kafka.

Additional Information
Candidates residing in locations within BankUnited's footprint may be given preference.

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