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Internship R Statistics Jobs in Claymont, DE (NOW HIRING)

PMHCC Inc.

Data & Evaluation Associate

Philadelphia, PA · On-site

$75K - $85K/yr

... R" and/or other appropriate licensed or open-source software * Supervise interns and other junior ... Knowledge of statistical software such as * Regression analysis, correlation analysis and ...

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Internship R Statistics information

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How much do internship r statistics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship r statistics in Claymont, DE is $16.88, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $18.75 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an R Statistics intern?

To thrive as an R Statistics Intern, a solid understanding of statistical concepts, data analysis, and proficiency in R programming—often supported by coursework in statistics or data science—is essential. Familiarity with data visualization tools, R packages like dplyr and ggplot2, and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These skills ensure accurate data-driven insights and smooth integration into research or analytics projects.

What is the difference between Internship R Statistics vs Data Analyst?

AspectInternship R StatisticsData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, data science, or related fieldBachelor's degree in statistics, data analysis, or related field; sometimes requires experience
Work EnvironmentInternship setting, often part-time or temporary, in tech, finance, or healthcare industriesFull-time role in various industries like finance, marketing, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level data tasks, often in tech and research sectorsEmployed by organizations to analyze data, generate reports, and support decision-making

Internship R Statistics is an entry-level, temporary position focused on learning and assisting with statistical analysis using R. In contrast, a Data Analyst is a full-time professional role responsible for analyzing data, creating reports, and supporting business decisions. While internships are designed for skill development, data analyst roles require more experience and responsibility.

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

As an R Statistics intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing large datasets, creating statistical models, and generating visualizations using R. You may collaborate closely with data scientists and other team members to support ongoing research, prepare reports, or assist in automating data workflows. Interns often have the opportunity to present their findings to the team and contribute to real-world decision-making processes, making this role a valuable learning experience for future careers in data analysis or statistics.

Which internship is best for statistics students?

The best internship for statistics students typically involves roles in data analysis, research, or analytics that utilize tools like R, Python, or SQL. Look for internships in industries such as finance, healthcare, or technology that offer hands-on experience with statistical modeling and data visualization. These opportunities often require strong analytical skills and may lead to full-time positions in data science or analytics.

What is an internship R Statistics position?

Internship R Statistics positions are internships that focus on using the R programming language for statistical analysis and data processing. These roles are typically aimed at students or recent graduates who want hands-on experience working with data, performing statistical modeling, and visualizing results using R. Interns may work in various industries, such as healthcare, finance, or technology, and often assist with tasks like data cleaning, exploratory data analysis, and report generation. These internships help participants develop practical skills in R, deepen their understanding of statistics, and prepare them for careers in data science or analytics.
What are popular job titles related to Internship R Statistics jobs in Claymont, DE? For Internship R Statistics jobs in Claymont, DE, the most frequently searched job titles are:
What job categories do people searching Internship R Statistics jobs in Claymont, DE look for? The top searched job categories for Internship R Statistics jobs in Claymont, DE are:
Internship R Statistics jobs near you
Infographic showing various Internship R Statistics job openings in Claymont, DE as of August 2026, with employment types broken down into 58% Internship, and 42% Full Time. Highlights an 100% In-person job distribution, with an average salary of $35,115 per year, or $16.9 per hour.

Compensation Analyst - Susquehanna International Group

Susquehanna International Group

Bala Cynwyd, PA • On-site

Full-time

Posted 16 days ago

Job description

Overview
We are seeking a curious, detail-oriented Junior HR / Compensation Data Analyst to support our global HR and Talent teams. This role is ideal for someone early in their analytics career who is excited to work with people, compensation, and labor market data and to help bring consistency and insight to complex, evolving information.
The HR / Compensation Analyst will support salary market analysis, job architecture efforts, and recruiting data standardization across professional, campus, and intern populations globally. This role offers strong exposure to compensation, workforce analytics, and global HR practices, with opportunities to build technical and analytical skills.
In this role you will:

  • Assist in analyzing salary survey and market benchmarking data under guidance from senior team members.
  • Support compensation analyses by preparing datasets, identifying trends, and summarizing findings.
  • Conduct basic research to supplement market data, as directed.
  • Support efforts to standardize job titles, job levels, and job families across the organization.
  • Help review job descriptions and role information to classify work consistently across professional, campus, and intern roles.
  • Document role attributes and maintain job-related data in standardized formats.
  • Clean, organize, and standardize recruiting and role data collected in varying formats.
  • Help convert unstructured information into structured datasets for analysis and reporting.
  • Perform data quality checks to ensure accuracy and consistency.
  • Assist with gathering external data from public websites and labor market sources.
  • Support independent research projects related to labor markets, emerging roles, and compensation trends.
  • Maintain documentation of data sources and methodologies.

What we're looking for
  • Bachelor's degree in Analytics, Economics, Statistics, HR, or a related field.
  • 0-2 years of experience in a data, analytics, HR, or research-focused role.
  • Strong attention to detail and comfort working with messy or incomplete data.
  • Basic proficiency in Excel; exposure to SQL, Python, or R is a plus.
  • Ability to follow defined processes while asking thoughtful questions.
  • Coursework or internships related to HR analytics, compensation, economics, or labor markets.
  • Exposure to recruiting or HR systems (ATS/HRIS).
  • Familiarity with data cleaning, basic automation, or web scraping concepts.
  • Interest in global workforce trends and job design.

Visa sponsorship for work authorization is not available for this position now or in the future.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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