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

Paychex

Data Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... and GitHub Actions. * 2 years of experience in Salesforce FSC, Salesforce Data Cloud.

Paychex

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... and GitHub Actions. * 2 years of experience in Salesforce FSC, Salesforce Data Cloud.

Paychex

Data Solutions Engineer

Rochester, NY · On-site

$113K - $135K/yr

Develop automation frameworks and CI/CD pipelines using tools like Terraform, GitHub Actions, and ... Work closely with internal teams, including data engineers, data scientists, analytics engineers ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Develop automation frameworks and CI/CD pipelines using tools like Terraform, GitHub Actions, and ... Work closely with internal teams, including data engineers, data scientists, analytics engineers ...

MegazoneCloud

Senior Data Engineer - GCP

Rochester, NY · On-site

$145K - $165K/yr

... GitHub Actions, Secret Manager, least-privilege IAM Analytics & AI Looker, Power BI, Vertex AI, Gemini What You Bring * 5-8+ years of professional data engineering experience. * Deep, expert-level ...

Pwc

CTIO AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

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

Lovingly

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

MegazoneCloud

Sr. Full Stack Engineer

Rochester, NY · On-site

$145K - $165K/yr

Data engineering & analytics enablement. Pipelines, transformation layers, and reporting datasets ... Drive infrastructure-as-code with Terraform (or CloudFormation/CDK) and build CI/CD in GitHub ...

Megazone Cloud US

Sr. Full Stack Engineer

Rochester, NY · On-site

$150 - $200/hr

Data engineering & analytics enablement. Pipelines, transformation layers, and reporting datasets ... Drive infrastructure-as-code with Terraform (or CloudFormation/CDK) and build CI/CD in GitHub ...

Lovingly

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 ...

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Showing results 1-20

All JobsData Analyst Github JobsData Analyst Github Jobs in Rochester, NY

Data Analyst Github information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do data analyst github jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst github in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 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 Rochester, NY?

For Data Analyst Github jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Data Analyst Github jobs in Rochester, NY look for?

The top searched job categories for Data Analyst Github jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Data Analyst Github jobs?

Cities near Rochester, NY with the most Data Analyst Github job openings:

Data Analyst Github jobs near you
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.

Data Engineer

Paychex

Rochester, NY • On-site, Remote

$113K - $135K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Paychex rating

7.3

Company rating: 7.3 out of 10

Based on 176 frontline employees who took The Breakroom Quiz

237th of 500 rated business services

Job description

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a singleconnected HCM platform. As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better business outcomes. This is an exciting time to join our team as we continue to invest in innovation, simplify client experiences, and shape the future of work. At Paychex, you'll have the opportunity to grow your career, make a meaningful impact, and be part of something bigger as One Paychex.
Overview
Source, extract, and manipulate large data sets to serve Business Analytics, Machine Learning and Artificial Intelligence needs of Paychex.
Responsibilities
  • Utilize existing infrastructure to assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources
  • Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities
  • Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform
  • Ensure data extraction, transformation and loading data meet data security & compliance requirements
  • Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards.
  • Create data tools for data scientist team members that assist them in building and optimizing models for use in Paychex products

    • Qualifications
    • Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required
    • 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or other Big Data technologies.
    • 4 years of experience in Experience building and optimizing data pipelines, architectures and data sets to answer specific business questions and identify opportunities for improvement.
    • 2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
    • 4 years of experience in Proficiency with languages such as Python, SQL, PySpark, R.
    • 2 years of experience in Understanding of Privacy, Compliance and security aspects of data storage & processing.
    • 2 years of experience in Experience delivering data solutions via Agile methodologies.
    • 4 years of experience in A successful history of manipulating, processing and extracting value from large disconnected datasets.
    • 2 years of experience in Proficiency for Software Development & CI/CD methodologies and tools for automated infrastructure code; ML Ops.
    • 2 years of experience in Design, implement, and maintain automation platform and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps and GitHub Actions.
    • 2 years of experience in Salesforce FSC, Salesforce Data Cloud.
    • Communication - Preferred
    • Problem Solving - Preferred
    • Troubleshooting (Problem Solving) - Preferred
    • Management - Preferred
    • Operations - Preferred
    • Data Engineering - Preferred
    • Python (Programming Language) - Preferred
    • SQL (Programming Language) - Preferred
    • Extract Transform Load (ETL) - Preferred
    • Data Pipelines - Preferred
    • Computer Science - Preferred
    • Apache Spark - Preferred
    • Data Warehousing - Preferred
    • Amazon Web Services - Preferred
    • Apache Hadoop - Preferred

    Live the Paychex Values
  • Act with uncompromising integrity.
  • Provide outstanding service and build trusted relationships.
  • Drive innovation in our products and services and continually improve our processes.
  • Work in partnership and support each other.
  • Be personally accountable and deliver on commitments.
  • Treat each other with respect and dignity.

    • What's in it for you?
    • We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.
    • We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.
    • We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.
    • We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.
    • We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.

      • Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.

      Not sure if you meet every requirement?
      At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us.

      Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.Qualifications:
      • Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required
      • 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or other Big Data technologies.
      • 4 years of experience in Experience building and optimizing data pipelines, architectures and data sets to answer specific business questions and identify opportunities for improvement.
      • 2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
      • 4 years of experience in Proficiency with languages such as Python, SQL, PySpark, R.
      • 2 years of experience in Understanding of Privacy, Compliance and security aspects of data storage & processing.
      • 2 years of experience in Experience delivering data solutions via Agile methodologies.
      • 4 years of experience in A successful history of manipulating, processing and extracting value from large disconnected datasets.
      • 2 years of experience in Proficiency for Software Development & CI/CD methodologies and tools for automated infrastructure code; ML Ops.
      • 2 years of experience in Design, implement, and maintain automation platform and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps and GitHub Actions.
      • 2 years of experience in Salesforce FSC, Salesforce Data Cloud.
      • Communication - Preferred
      • Problem Solving - Preferred
      • Troubleshooting (Problem Solving) - Preferred
      • Management - Preferred
      • Operations - Preferred
      • Data Engineering - Preferred
      • Python (Programming Language) - Preferred
      • SQL (Programming Language) - Preferred
      • Extract Transform Load (ETL) - Preferred
      • Data Pipelines - Preferred
      • Computer Science - Preferred
      • Apache Spark - Preferred
      • Data Warehousing - Preferred
      • Amazon Web Services - Preferred
      • Apache Hadoop - Preferred
      Education:UNAVAILABLEEmployment Type: FULL_TIME

    What Paychex employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

    Paychex logo

    About Paychex

    Sourced by ZipRecruiter

    Consult with America's businesses, leveraging Paychex key referral channels and partnerships to educate stakeholders on our services, and provide consultative solutions to increase market share and drive revenue.

    Industry

    Human resources consulting services

    Company size

    10,000+ Employees

    Headquarters location

    Rochester, NY, US

    Year founded

    1971

    Social media

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