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

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

We\'ve built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ... , and GitHub Actions. * 2+ years with Salesforce FSC and Salesforce Data Cloud. Skills ...

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/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 ...

Database Engineer I

Webster, NY · On-site +1

$76K - $120K/yr

Administer modern Data Lakehouse Platforms such as Snowflake, One Lake, and Databricks * Support ... Strong analytical skills, with a problem-solving mindset. * Effective communication and teamwork ...

New

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 ...

Experience developing data quality frameworks and predictive or prescriptive analytics solutions on ... , GitHub, and SonarQube * Experience with continuous integration/continuous deployment and ...

Lead requirement analysis, component design, development, unit testing, integrations, and support ... data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new ...

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 Jun 17, 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 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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $81,575 per year, or $39.2 per hour.
Data Engineer - Remote

Data Engineer - Remote

Mindex

Rochester, NY • Remote

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Job description

With more than 30 years of success, Mindex is a software development and cloud services company known for delivering innovative solutions. We\'ve built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, giving us deep expertise in developing and scaling modern software.

Named the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100, we\'re passionate about helping our clients succeed and creating opportunities for our team to grow and make an impact.
We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs.

The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you\'ll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members.

Essential Functions:

  • Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources. 
  • Provide operational support and troubleshooting for existing processes and systems. 
  • 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. 
  • BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required. 
  • 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies; 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets. 
  • 4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement 
  • 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB. 
  • 2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments. 
  • 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions. 
  • 2+ years with Salesforce FSC and Salesforce Data Cloud. 

Skills & Competencies: 

  • Strong communication and problem-solving skills. 
  • Troubleshooting expertise. 
  • Proficiency in Python, SQL. 
  • Experience with Extract, Transform, Load (ETL) processes. 
  • Experience building data pipelines. 
  • Experience with Apache Spark and Apache Hadoop. 
  • Experience with Amazon Web Services. 
  • Health insurance
  • Paid holidays
  • Flexible time off
  • 401k retirement savings plan and company match with pre-tax and ROTH options
  • Dental insurance
  • Vision insurance
  • Employer paid disability insurance
  • Life insurance and AD&D insurance
  • Employee assistance program
  • Flexible spending accounts
  • Health savings account with employer contributions
  • Accident, critical illness, hospital indemnity, and legal assistance
  • Adoption assistance
  • Domestic partner coverage

The salary range for this role reflects a wide range of factors including skill set, experience, training, and internal equity. It is not typical for individuals to be hired at the top of the range.

The salary range is $90,000 - $140,000.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time.