1

Data Analyst Github Jobs in Rochester, NY (NOW HIRING)

You will work on developing predictive models, conducting statistical analysis, and creating data ... using GitHub Actions - Implementing vector databases and orchestration tools like LangChain ...

Senior Next.js Engineer

Hopewell, NY · On-site

$123K - $163K/yr

Work with DevOps on CI/CD optimization using GitHub Actions and Docker * Establish AI-augmented ... Drive data-driven decisions with AI insights * Monitor frontend KPIs using predictive analytics

DevOps Solutions Engineer

Hopewell, NY · On-site

$53.25 - $73/hr

... data-driven . We embrace a hybrid work model , blending remote flexibility with in-person ... Architect and manage GitHub Actions CI/CD pipelines for our Nx-based monorepo , optimizing for Next ...

Data Analyst Github information

See Rochester, NY salary details

$33.6K

$81.6K

$134.2K

How much do data analyst github jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data analyst github in Rochester, NY is $81,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 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 cities near Rochester, NY are hiring for Data Analyst Github jobs? Cities near Rochester, NY with the most Data Analyst Github job openings:
Infographic showing various Data Analyst Github job openings in Rochester, NY as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $81,575 per year, or $39.2 per hour.

Cloud Tech Project Manager

MegazoneCloud US

Rochester, NY • On-site

Full-time

Posted 23 days ago


Job description

Job Summary:
MegazoneCloud is seeking a Cloud Tech Project Manager – Associate to support and coordinate cloud migration, modernization, and transformation initiatives across North America. This role provides an opportunity to grow into a fully independent project manager while contributing to project planning, execution, and delivery in partnership with clients and internal technical teams.
Responsibilities:
• Support planning and execution of cloud projects or defined workstreams within larger programs.
• Assist with developing and maintaining schedules, milestones, deliverables, and dependencies using tools such as JIRA, Confluence, Asana, MS Project, or Smartsheet.
• Coordinate meetings, document decisions, track action items, and facilitate clear communication across onshore/offshore teams.
• Prepare project updates, track risks and issues, and assist in producing management-level reports and presentations.
• Translate business and technical requirements into structured tasks for delivery teams.
• Monitor progress, identify blockers, and escalate concerns as needed to senior project managers or technical leads.
• Apply basic cloud delivery concepts (Lift & Shift, Re-platforming, Refactoring) under guidance.
Qualifications:
Required:
• 1–3 years of relevant experience in IT project coordination, cloud project delivery, or technical program support.
• Demonstrated ability to manage timelines, deliverables, and cross-team communication.
• Experience working with project management frameworks and supporting medium-scale initiatives.
• Foundational understanding of cloud platforms (AWS, Azure, or GCP) and cloud delivery methodologies.
• At least one entry-level cloud certification (e.g., AWS Solutions Architect – Associate, Azure Administrator – Associate, or GCP Associate Cloud Engineer) or willingness to obtain within 3–6 months.
• Familiarity with Agile/Scrum, Kanban, and Hybrid/Waterfall methodologies.
• Strong organizational, documentation, and problem-solving skills.
• Proficiency with collaboration tools such as MS Office/Google Workspace, JIRA, Confluence, Asana/Trello, Smartsheet, Miro/Figma, Slack/Teams.
• Strong interpersonal and communication skills with the ability to engage confidently with internal teams and customers.
• General awareness of IT/cloud compliance and security standards (SOC 2, ISO 27001, HIPAA, PCI-DSS).
Preferred:
• Practical exposure to cloud environments or cloud-related projects.
• Project management certifications (CAPM, PMP, Agile, or equivalent).
• Scrum/Agile certifications (CSM/PSM, CSPO/PSPO) or experience in scaled Agile environments (SAFe).
• Associate or Professional-level cloud certifications (AWS, Azure, or GCP).
• Familiarity with DevOps and CI/CD tools such as GitHub, GitLab, or Azure DevOps.
• Understanding of networking, security fundamentals, and system administration (Windows/Linux).
• Experience working in multi-regional, cross-cultural teams.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.