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Intern 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 ...

Xylem

Hydroinformatics Engineer

Cheektowaga, NY

Translate data analytics into language understood by engineers and data analysts, both in the ... Previous experience programming in software languages such as Python, R, C, MATLAB, etc.

Moog

Sr. Software Engineer

Buffalo, NY

$118K - $156K/yr

Experience with Python or another automation scripting language * Familiarity with National ... MATLAB, Minitab, R/S-Plus * Experience with containerization * Experience with test automation

Moog, Inc.

Sr. Software Engineer

Buffalo, NY · On-site

$118K - $156K/yr

Experience with Python or another automation scripting language * Familiarity with National ... MATLAB, Minitab, R/S-Plus * Experience with containerization * Experience with test automation

Moog Inc.

Sr. Software Engineer

Buffalo, NY · On-site

$118K - $156K/yr

Experience with Python or another automation scripting language * Familiarity with National ... MATLAB, Minitab, R/S-Plus * Experience with containerization * Experience with test automation

Clarasight

Data Scientist

Boston, NY · On-site

... engineering partners, and help define how data science shows up in the Clarasight product. Key ... Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers.

Jewish Family Service

Job Developer

Buffalo, NY · On-site

$21 - $28/hr

Provide transportation assistance, language assistance, and job application assistance in early ... Manage R&P and Match Grant monthly reports. QUALIFICATIONS Education and Experience: * Bachelor ...

Munich Re

Data Scientist, AI

Buffalo, NY · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

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All JobsIntern R Programming Language JobsIntern R Programming Language Jobs in Buffalo, NY

Intern R Programming Language information

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

As of Jul 29, 2026, the average hourly pay for intern r programming language in Buffalo, NY is $16.50, 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.

Is 22 too old for an internship?

Intern R Programming Language internships are open to candidates of various ages, including those who are 22. Age is generally not a barrier, and employers often value skills, relevant coursework, and enthusiasm over age. Many internships welcome early-career professionals or those seeking to gain experience in data analysis and programming tools like R.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and data visualization in 2026. Data analysts and statisticians, including those applying for R programming internships, continue to rely on R alongside tools like Python, especially in academia and research environments.

What jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, academia, and market research for data analysis and reporting.

Is R programming still in demand?

R programming remains in demand for data analysis, statistical modeling, and research roles, especially in industries like healthcare, finance, and academia. Professionals skilled in R, along with data visualization and statistical techniques, are valued as organizations increasingly rely on data-driven decision-making.

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

AspectIntern R Programming LanguageData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationData analysis, Excel, SQL, basic R knowledge
Work EnvironmentResearch labs, data science teams, tech companiesBusiness departments, marketing, finance teams
Industry UsageData science, research, analytics projectsBusiness intelligence, reporting, data interpretation

Intern R Programming Language roles focus on developing skills in R for data analysis and visualization, often within research or data science teams. Data Analyst Intern positions involve applying analytical skills to interpret data for business insights, sometimes using R but often emphasizing Excel and SQL. Both roles require analytical thinking but differ in technical depth and industry focus.

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:
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What cities near Buffalo, NY are hiring for Intern R Programming Language jobs? Cities near Buffalo, NY with the most Intern R Programming Language job openings:
Intern R Programming Language jobs near you
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

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