ZipRecruiter

Log In

1

Internship R Programming Language Jobs in Buffalo, NY

M&T Bank

Engineering Analytics Lead

Buffalo, NY · On-site

Proficiency with SQL and at least one analytical programming language such as Python or R. * Experience working with large-scale operational, engineering, or observability datasets. Education and ...

M&T Bank

Engineering Analytics Lead

Buffalo, NY

Proficiency with SQL and at least one analytical programming language such as Python or R. * Experience working with large-scale operational, engineering, or observability datasets. Education and ...

Ascent Aerospace

Controls Software Engineer

Macomb, MI · On-site

$43.25 - $55.25/hr

Experience in C# Programming language is preferred. * This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22.C.F.R. § is required. PREFERRED ...

PCB PIEZOTRONICS, INC.

Manufacturing Engineer I

Depew, NY

$70K - $90K/yr

Internship, Co-Op or equivalent industry project experience. Other: Special Skills: Travel: PCB is ... F.R. §730 et. seq.) and "technical data" as defined in the International Traffic in Arms ...

PCB PIEZOTRONICS, INC.

Manufacturing Engineer I

Depew, NY · On-site

$70K - $90K/yr

Internship, Co-Op or equivalent industry project experience. * Manufacturing processes knowledge ... F.R. §730 et. seq.) and "technical data" as defined in the International Traffic in Arms ...

next page

Showing results 1-20

All JobsR Programming Language JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Buffalo, NY

Internship R Programming Language information

See Buffalo, NY salary details

$8

$16

$23

How much do internship r programming language jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for internship r programming language in Buffalo, NY is $16.76, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $18.61 per hour, depending on experience, location, and employer.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
What are the most commonly searched types of R Programming Language jobs in Buffalo, NY? The most popular types of R Programming Language jobs in Buffalo, NY are:
What are popular job titles related to Internship R Programming Language jobs in Buffalo, NY? For Internship R Programming Language jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Buffalo, NY look for? The top searched job categories for Internship R Programming Language jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Internship R Programming Language jobs? Cities near Buffalo, NY with the most Internship R Programming Language job openings:
Internship R Programming Language jobs near you
Infographic showing various Internship R Programming Language job openings in Buffalo, NY as of June 2026, with employment types broken down into 63% Full Time, 36% Part Time, and 1% Temporary. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $34,867 per year, or $16.8 per hour.
Engineering Analytics Lead

Engineering Analytics Lead

M&T Bank

Buffalo, NY • On-site

Full-time

Posted 13 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

88th of 170 rated banks

Job description

Overview
Responsible at the expert level for transforming engineering, operational, security, and quality data into actionable insights that improve developer experience and software delivery outcomes. Leads the collection, integration, analysis, and predictive modeling of data across the Software Development Lifecycle (SDLC), observability platforms, incident management systems, production change processes, security tooling, and quality platforms. Contributes to the stability, resilience, quality, and effectiveness of technology delivery through advanced analytics, measurement frameworks, and data-driven recommendations while coaching others.
Primary Responsibilities
  • Design and develop analytical frameworks that integrate data across source control, CI/CD pipelines, quality platforms, observability tools, incident management systems, production change systems, security platforms, and software development tools.
  • Define, implement, and govern engineering metrics that measure developer experience, software quality, release readiness, operational resilience, engineering productivity, and technology risk.
  • Develop predictive models and data-driven insights to identify potential release risks, quality concerns, reliability issues, security vulnerabilities, and delivery bottlenecks before they impact production.
  • Perform advanced statistical analysis, trend analysis, and failure analysis to identify patterns impacting software delivery performance and operational health.
  • Create engineering scorecards, executive dashboards, and self-service reporting capabilities that provide visibility into engineering effectiveness and delivery outcomes.
  • Analyze relationships between code changes, deployment activity, incidents, vulnerabilities, observability signals, and production outcomes to identify leading indicators of risk.
  • Partner with Software Engineering, Site Reliability Engineering, Cybersecurity, Infrastructure, Risk, Architecture, and Product teams to establish common measurement frameworks and data definitions.
  • Establish standards and best practices for engineering data collection, metric governance, and analytics platform design.
  • Provide recommendations that improve software quality, developer productivity, deployment success rates, operational resilience, and customer outcomes.
  • Translate complex data and technical findings into actionable recommendations for engineering leaders, executives, and business stakeholders.
  • Present findings and insights at leadership reviews, architecture forums, engineering community events, and internal knowledge-sharing sessions.
  • Contribute to the evolution of Developer Experience strategy through measurement, experimentation, benchmarking, and continuous improvement initiatives.
  • Understand and adhere to the Company's risk and regulatory standards, policies, and controls in accordance with the Company's Risk Appetite.
  • Identify risk-related issues requiring escalation to management.
  • Promote an environment that supports a culture of belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of audit findings and regulatory requirements.
  • Complete other related duties as assigned.

Scope of Responsibilities
Serves as a senior individual contributor and subject matter expert for engineering analytics, developer experience measurement, and predictive engineering intelligence.
Supervisory/Managerial Responsibilities
No supervisory responsibilities.
Education and Experience Required
  • Associate's degree and a minimum of 7 years' systems analysis and/or application development work experience or Bachelor's degree and a minimum of 5 years' systems analysis and/or application development work experience. In lieu of a degree, a combined minimum of 9 year's education and/or relevant work experience, including a minimum of 5 years' system analysis and/or application development work experience.
  • Advanced experience with data analysis, statistical modeling, predictive analytics, and dashboard development.
  • Experience integrating data from multiple enterprise platforms and engineering systems.
  • Proficiency with SQL and at least one analytical programming language such as Python or R.
  • Experience working with large-scale operational, engineering, or observability datasets.

Education and Experience Preferred
  • Experience measuring Developer Experience, Engineering Effectiveness, DORA metrics, Flow Metrics, SPACE Framework, or related engineering productivity models.
  • Experience with observability platforms such as Datadog, Splunk, Dynatrace, New Relic, Grafana, or Elastic.
  • Experience integrating data from GitLab, GitHub, Jenkins, SonarQube, Jira, ServiceNow, CI/CD platforms, security scanning tools, and cloud environments.
  • Knowledge of software development, release management, Site Reliability Engineering, and production operations.
  • Advanced statistical analysis and machine learning experience.
  • Experience developing predictive risk models and operational analytics.
  • Strong storytelling and executive communication skills.
  • Experience influencing strategy and decision-making through data.
  • Experience leading enterprise analytics initiatives without direct people management responsibilities.

#LI-JB3
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America

What M&T Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply