ZipRecruiter

Log In

1

Data Analyst Github Jobs in New Jersey (NOW HIRING)

Scigon Solutions

Azure Data Engineer

Camden, NJ · On-site

$97K - $130K/yr

Experience building CI/CD pipelines using GitHub Actions. * Strong knowledge of cloud-native data engineering best practices. * Experience working in Agile environments. * Excellent analytical ...

MM International

Data Architect

Woodbridge, NJ · On-site

$64.25 - $82.75/hr

... and guiding data analysts & engineers * 5+ years hands-on experience working on Greenfield ... GitHub, Maven, Gradle * 3+ years of experience with DevSecOps tools like SonarQube, GitLab ...

National Computer Systems

NJ · On-site

$80 - $100/hr

... analysis & development ... Work on Azure‑GITHUB configuration and deploy codes and projects into GITHUB. Qualifications

KPMG US

Data Scientist- Associate

Montvale, NJ · On-site

$61K - $62K/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 • ...

NFI Industries

Data Engineer I

Camden, NJ · On-site

$88K - $117K/yr

Join our innovative Data & Analytics team as an Associate Data Engineer, where you will help ... GitHub Copilot or Google Gemini) to speed up workflows. However, we believe that foundational depth ...

next page

Showing results 1-20

All JobsData Analyst Github JobsData Analyst Github Jobs in New Jersey

Data Analyst Github information

See New Jersey salary details

$34.5K

$83.9K

$138.1K

How much do data analyst github jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data analyst github in New Jersey is $83,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,500.00 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 New Jersey?

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

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

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

What cities in New Jersey are hiring for Data Analyst Github jobs?

Cities in New Jersey with the most Data Analyst Github job openings:

Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,899 per year, or $40.3 per hour.

Azure Data Engineer

Camden, NJ • On-site

Scigon Solutions
See more jobs at Scigon Solutionsexternal

$97K - $130K/yr

Other

Posted 10 days ago

Job description


Azure Data Engineer Salary: $97,500-$130,000 Job Summary

We are seeking an experienced Azure Data Engineer with strong Databricks expertise to design, develop, and support scalable cloud-based data solutions. This role is responsible for building and maintaining modern data platforms on Microsoft Azure and Databricks, developing robust data pipelines, and enabling analytics and reporting initiatives across the organization.

The ideal candidate will have extensive hands-on experience with Azure Databricks, Azure Data Factory, Delta Lake, Apache Spark, and Medallion Architecture. Experience with Terraform and GitHub Actions is required to support infrastructure automation, CI/CD processes, and cloud platform administration.

Key Responsibilities
  • Design, develop, and maintain scalable data platforms and solutions on Microsoft Azure.
  • Build and optimize ETL/ELT data pipelines using Azure Data Factory and Azure Databricks.
  • Develop data transformation processes leveraging Apache Spark and Delta Lake technologies.
  • Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers) to support enterprise analytics and reporting needs.
  • Collaborate with business stakeholders, analysts, data scientists, and application teams to understand data requirements and deliver solutions.
  • Design and implement efficient data models that support reporting, analytics, and business intelligence initiatives.
  • Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
  • Develop and maintain CI/CD pipelines using GitHub Actions.
  • Provision and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices.
  • Ensure data quality, governance, security, and compliance standards are met.
  • Provide production support and resolve issues related to data integration and platform performance.
  • Document technical designs, architectures, standards, and operational procedures.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of experience in Data Engineering or related technical roles.
  • Strong experience with:
    • Azure Databricks
    • Azure Data Factory (ADF)
    • Azure Data Lake Storage (ADLS)
    • Apache Spark (PySpark preferred)
    • Delta Lake
    • SQL and data modeling
  • Experience implementing Medallion Data Architecture.
  • Hands-on experience with Terraform for infrastructure automation.
  • Experience building CI/CD pipelines using GitHub Actions.
  • Strong knowledge of cloud-native data engineering best practices.
  • Experience working in Agile environments.
  • Excellent analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications
  • Microsoft Azure certifications.
  • Experience with Azure Synapse Analytics.
  • Experience with Power BI or other analytics platforms.
  • Knowledge of data governance and data security frameworks.
  • Experience supporting large-scale enterprise data environments.

Key Competencies
  • Data Engineering
  • Cloud Architecture
  • ETL/ELT Development
  • Infrastructure as Code (Terraform)
  • CI/CD Automation
  • Data Modeling
  • Problem Solving
  • Communication and Collaboration
  • Performance Optimization
  • Stakeholder Management

Apply