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Data Analyst Github Jobs in Lancaster, PA (NOW HIRING)

Penske

Integration Architect

Reading, PA · On-site

$68 - $87.75/hr

... IoT/data sources, analytics platforms, and front-end experiences. Major Responsibilities ... Experience with CI/CD (GitHub Actions, Jenkins, GitLab, etc.) and IaC-aware delivery. * Strong ...

Listrak

Principal Software Engineer

Lancaster, PA · On-site

$131K - $175K/yr

Partner with Product and business stakeholders to improve data models and enable data-driven ... Research and evaluate emerging technologies, including AI-assisted development tools such as GitHub ...

All JobsData Analyst Github JobsData Analyst Github Jobs in Lancaster, PA

Data Analyst Github information

See Lancaster, PA salary details

$33K

$80.3K

$132.2K

How much do data analyst github jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analyst github in Lancaster, PA is $80,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,300.00 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 Lancaster, PA?

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

What job categories do people searching Data Analyst Github jobs in Lancaster, PA look for?

The top searched job categories for Data Analyst Github jobs in Lancaster, PA are:

What cities near Lancaster, PA are hiring for Data Analyst Github jobs?

Cities near Lancaster, PA with the most Data Analyst Github job openings:

Data Analyst Github jobs near you

Java Technical Lead / Engineering Lead with AWS , Agentic AI - Reading PA -- Hybrid work - Weekly 3

Vinsari LLC

Reading, PA • On-site

Other

Posted 11 days ago

Job description

We're Hiring: Java Technical Lead / Engineering Lead (AWS & Agentic AI)

Are you an experienced Technical Lead with a passion for Java, AWS Cloud, Microservices, and Agentic AI? We're looking for a hands-on engineering leader to drive enterprise application development, lead global teams, and build next-generation AI-powered solutions.

Location: Reading, PA
Work Model: Hybrid (3 Days Onsite Weekly)
Local to Pennsylvania Only
Start Date: September 1, 2026
Duration: 30-Week Contract

What You'll Do

As the Technical Lead / Engineering Lead, you'll own the end-to-end technical vision while leading development efforts and mentoring a high-performing offshore engineering team.

Key Responsibilities
  • Architect, design, and deliver scalable, enterprise-grade applications.
  • Provide hands-on development, code reviews, and technical leadership across the full software development lifecycle.
  • Partner with Business Analysts, Product Owners, and stakeholders to translate business requirements into technical solutions.
  • Lead and mentor an offshore development team (India), driving Agile delivery, sprint planning, and engineering excellence.
  • Manage technical communication with customers and executive stakeholders.
  • Drive AI-enabled software engineering by leveraging GitHub Copilot, prompt engineering, and Agentic AI solutions on AWS.
  • Promote best practices in architecture, code quality, DevOps, and cloud-native application development.
Required Skills

10+ years of enterprise software engineering experience

Strong expertise in:

  • Java
  • Spring Boot
  • Microservices Architecture
  • REST APIs
  • Angular / TypeScript
  • MS SQL Server

Cloud & DevOps

  • AWS
  • Bamboo
  • Bitbucket / Git
  • CI/CD Pipelines
  • Modern DevOps Practices

AI & Modern Engineering

  • Agentic AI
  • Large Language Models (LLMs)
  • GitHub Copilot
  • Prompt Engineering
  • AI-Assisted Development
Preferred Qualifications
  • Experience with event-driven architectures or cloud data platforms.
  • Agile/Scrum leadership experience.
  • AWS Certified Solutions Architect or Java certifications.
  • Experience leading distributed/offshore engineering teams.
Why Join Us?
  • Lead enterprise-scale digital transformation initiatives.
  • Work with cutting-edge AI, cloud, and modern engineering technologies.
  • Drive innovation using Agentic AI and cloud-native architectures.
  • Collaborate with business leaders, architects, and global engineering teams.
  • Opportunity to shape the future of AI-powered software development.

Interested? Send your updated resume to or tag someone in your network who would be a great fit for this opportunity!

Apply