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Statistical Analysis Intern Jobs (NOW HIRING)

The Data Analyst Intern will report directly to the Business Intelligence Manager and is ... statistical analysis, and predictive modeling efforts. In this position, you will * Data Analysis ...

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How much do statistical analysis intern jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for statistical analysis intern in the United States is $37.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $56.25 per hour, depending on experience, location, and employer.

What does a statistical analysis intern do?

A Statistical Analysis Intern assists with collecting, organizing, and analyzing data to support business or research objectives. They use statistical techniques to identify trends, patterns, and insights within datasets, often using software such as Excel, R, or Python. Interns may also help prepare reports, visualizations, and presentations based on their findings. This role provides practical experience in applying statistical methods and interpreting results under the guidance of experienced analysts or statisticians.

What are the key skills and qualifications needed to thrive as a statistical analysis intern?

To thrive as a Statistical Analysis Intern, you need a solid understanding of statistics, data analysis, and proficiency in mathematics, typically supported by coursework or a degree in a quantitative field. Familiarity with statistical software such as R, Python, or SAS, as well as experience with data visualization tools, is highly valuable. Strong attention to detail, critical thinking, and clear communication help interns interpret data effectively and share insights with teams. These skills and qualities are crucial for providing accurate analyses that drive informed business or research decisions.

What are some common challenges faced by statistical analysis interns during their internship?

Statistical Analysis Interns often encounter challenges such as learning to work with large, complex datasets and adapting to new statistical software or programming languages. They may also need to interpret ambiguous data or results and communicate their findings clearly to non-technical team members. Collaboration with experienced analysts and seeking feedback can help interns overcome these challenges and build practical skills for future roles.

Which internship is best for statistical analysis students?

The best internships for statistical analysis students are those offered by data-driven companies, research institutions, or government agencies that focus on data analysis, modeling, and interpretation. These internships often require proficiency in tools like R, Python, or SAS and may include opportunities to develop skills in data visualization and statistical programming. Selecting internships with structured training and mentorship can enhance practical experience and career prospects.
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Infographic showing various Statistical Analysis Intern job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $77,276 per year, or $37.2 per hour.

Graduate Intern - Statistical Analysis

Boston, MA โ€ข On-site

Federal Reserve Bank of Boston
Finance and Insuranceย โ€ขย 1 - 5K employees

$18 - $36/hr

Other

Re-posted 8 days ago


Job description

Graduate Intern โ€“ Statistical Analysis

Federal Reserve Bank of Boston's Regional & Community Outreach department is seeking a motivated intern to support its data analysis project. This internship offers hands-on experience in community development research and data analysis that advances our work in financial inclusion in LMI communities. This internship is intended to assist with an ongoing data analysis project.

Primary Responsibilities

  • Collaborate with team members to develop and evaluate options for enhancing existing data analysis and visualization
  • Conduct literature reviews on relevant methodologies, data sources, and analytical approaches applicable to the project
  • Assist with data collection, cleaning, and management from multiple publicly available surveys and datasets
  • Support the development and implementation of quantitative models including statistical estimation techniques, forecasting models, and clustering
  • Perform geospatial analysis to identify regional patterns and trends
  • Create data visualizations and contribute to interactive dashboards

Qualifications

Required

  • Currently enrolled in an undergraduate or graduate program in economics, public policy, statistics, data science, or related field
  • Strong quantitative and analytical skills with coursework in statistics and data analysis
  • Proficiency in at least one statistical software package (R, Python, or similar)
  • Experience with data visualization tools (Tableau)
  • Experience with data manipulation, cleaning, and analysis of large datasets
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively in a professional environment

Preferred

  • Familiarity with survey data analysis and sampling techniques
  • Experience with census data or publicly available economic datasets
  • Experience with geospatial analysis tools (ArcGIS or similar)
  • Background in machine learning or predictive modeling
  • Interest in community development and financial inclusion

Compensation: $18-$36 per hour. Actual pay within the range will be set based on undergraduate/graduate year and relevant experience.

The Federal Reserve Bank of Boston is committed to a diverse and inclusive workplace and to provide equal employment opportunities to all persons without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, genetic information, disability, or military service.