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Internship R Programming Language Jobs in Reno, NV

... in programming language commonly used for data and analytics, including Python, R, Julia, Scala, or SAS. * Strong SQL skills and experience working with large, complex datasets and relational ...

New

... in programming language commonly used for data and analytics, including Python, R, Julia, Scala, or SAS. * Strong SQL skills and experience working with large, complex datasets and relational ...

New

HSE Intern (Summer 2026)

Reno, NV · On-site

$17 - $21.50/hr

Seeking candidates available for a full-time internship for Summer 2026. Responsibilities Include ... Chemical Engineering, Environmental Engineering, or related field) OR a recent graduate April/May ...

HSE Intern (Summer 2026)

Reno, NV

$17 - $21.50/hr

Seeking candidates available for a full-time internship for Summer 2026. Responsibilities Include ... Chemical Engineering, Environmental Engineering, or related field) OR a recent graduate April/May ...

Human Resources Intern

Reno, NV

$15 - $20/hr

This is a one-year Internship opportunity for current students or very recent graduates. What You ... The fantastic (r)evolution towards the vehicle of the future provides amazing career opportunities ...

Human Resources Intern

Reno, NV · On-site

$15 - $20/hr

This is a one-year Internship opportunity for current students or very recent graduates. What You ... The fantastic (r)evolution towards the vehicle of the future provides amazing career opportunities ...

Internship R Programming Language information

See Reno, NV salary details

$9

$17

$23

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

As of Aug 22, 2026, the average hourly pay for internship r programming language in Reno, NV is $17.25, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.18 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 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 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 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 popular job titles related to Internship R Programming Language jobs in Reno, NV?

For Internship R Programming Language jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Internship R Programming Language jobs in Reno, NV look for?

The top searched job categories for Internship R Programming Language jobs in Reno, NV are:

What cities near Reno, NV are hiring for Internship R Programming Language jobs?

Cities near Reno, NV with the most Internship R Programming Language job openings:

Manager, Data Science & Services

MOREgroup

Reno, NV • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

The Meaning of More
MOREgroup is a family of architecture, design, and engineering brands that serve civic, education, and healthcare practice areas. The facilities we bring to life are places where communities are cared for, educated, protected, and connected. We are proud to contribute to a strong social infrastructure where generations thrive.
Our beliefs are rooted in the concept of more. We believe the best outcomes happen when we are more connected to the work we do and to the people we serve. For us, more is about going beyond expectation to find meaningful connections and experiences that create greater impact for communities. It is about the power to innovate and the passion to serve. What we do matters, but how we do it matters more.
Some of the things you can expect working at MOREgroup�
  • Contributing to a passionate and energetic team within a growing company.
  • Training and professional development to support career growth with exposure to a variety of areas and industries.
  • MORE opportunities to impact the communities we collectively serve.

POSITION SUMMARY
We are seeking a skilled and motivated data professional with a strong background in data science, data engineering, data integration, and data warehousing. This role will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions that enable data-driven decision-making across the organization. The ideal candidate brings hands-on experience with modern cloud data platforms and integration tools and is comfortable working across the full data lifecycle�from ingestion and transformation to analytics and optimization.
RESPONSIBILITES
  • Design, develop, and maintain scalable data pipelines and architectures that support business reporting, analytics, and operational needs.
  • Build and optimize data warehouses and analytical data models to enable accurate, accessible, and actionable insights.
  • Integrate data from internal and external sources using APIs, flat files, database connections, and modern ETL/ELT tools and methodologies.
  • Partner with business stakeholders, analysts, and technology teams to understand data needs and translate requirements into effective technical solutions.
  • Evaluate and recommend business intelligence, analytics, and data solutions that align with organizational needs and long-term technology strategy.
  • Ensure data is accurate, consistent, secure, reliable, and performant across platforms and systems.
  • Develop and maintain data solutions that support reporting, business intelligence, data science, and advanced analytics initiatives.
  • Build and maintain a hybrid data and analytics environment that supports immediate business needs while advancing the organization's adoption of modern AI and machine learning capabilities.
  • Monitor, troubleshoot, and optimize data pipelines, integrations, and system performance to ensure reliable data delivery.
  • Apply sound technical judgment when selecting data integration approaches, balancing speed to delivery, scalability, maintainability, and long-term modernization.
  • Establish and maintain data architecture, pipeline, integration, and development standards and documentation.
  • Lead and manage offshore teams of developers, analysts, engineers, and administrators to support data and analytics initiatives.
  • Oversee data and analytics projects from solution design and development through implementation and delivery.
  • Define and execute an operational strategy that effectively supports MOREgroup's diverse data audiences, including business users, technology and digital teams, shadow technology teams, and external partners.
  • Identify opportunities to improve data processes, reduce reliance on shadow technology solutions, and create more consistent and scalable enterprise data capabilities.

QUALIFICATIONS & SKILLS
  • Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field preferred, with 3+ years of professional experience in data engineering, data integration, data science, or data warehousing.
  • Advanced experience with modern data platform, such as Snowflake, Databricks, Amazon Redshift, or Microsoft Azure Synapse Analytics.
  • Strong experience with data integration and ETL/ELT tools, such as Informatica, Boomi, Talend, Amazon Glue, Microsoft Fabric, or SSIS.
  • Proficiency in programming language commonly used for data and analytics, including Python, R, Julia, Scala, or SAS.
  • Strong SQL skills and experience working with large, complex datasets and relational databases, including Oracle, Microsoft SQL Server, MariaDB, MySQL, or PostgreSQL.
  • Experience with cloud-based data ecosystems, modern data architectures, data modeling, dimensional modeling, and analytics best practices.
  • Demonstrated experience leading and coordinating offshore data teams, including data engineers, analysts, and administrators across multiple time zones.
  • Strong analytical and problem-solving skills, with the ability to manage projects independently while collaborating effectively across teams.
  • Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable information for non-technical stakeholders.

BENEFITS
This role offers competitive compensation and is eligible for participation in our comprehensive benefits programs including:
  • Medical, Dental, and Vision Insurance
  • 401(k) plan with company match
  • Life insurance, long-term and short-term disability
  • Employee Assistance Program
  • Paid time off & paid vacation