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Internship R Statistics Jobs in Katy, TX (NOW HIRING)

This internship offers a unique opportunity to gain hands-on experience in data analysis, business ... Currently pursuing a bachelor's degree in Data Science, Statistics, Computer Science, Business, or ...

Internship R Statistics information

See Katy, TX salary details

$8

$15

$21

How much do internship r statistics jobs pay per hour?

As of May 30, 2026, the average hourly pay for internship r statistics in Katy, TX is $15.88, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $17.64 per hour, depending on experience, location, and employer.

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

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 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.

What are Internship R Statistics positions?

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 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.

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Posted 16 days ago


Job description

Data Analytics Intern at “Top Workplace”

We are seeking a motivated and detail-oriented Data Analytics Summer Intern to join our team. This internship offers a unique opportunity to gain hands-on experience in data analysis, business intelligence, and strategic analytics within the healthcare industry. The intern will work closely with our Data Analytics team to support various projects and initiatives aimed at improving operational efficiency and business decision-making.

A Day in the Life
  • Assist in collecting, cleaning, and analyzing large datasets from various sources.
  • Conduct data analysis to identify trends, patterns, and insights that drive business decisions.
  • Collaborate with cross-functional teams to understand data needs and provide analytical support.
  • Participate in the development and implementation of data-driven solutions to improve business processes.
  • Present findings and recommendations to stakeholders in a clear and concise manner.

All other duties as assigned

Education/Experience
  • Currently pursuing a bachelor's degree in Data Science, Statistics, Computer Science, Business, or a quantitative field.
Qualifications
  • Strong analytical and problem-solving skills.
  • Proficiency in data analysis tools such as Excel, SQL, and Python or R.
  • Excellent communication and presentation skills.
  • A desire to pursue a career in analytics post-college graduation.