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Statistical Analysis Jobs in Massachusetts (NOW HIRING)

The statistical programming team develops datasets from our clinical trials and delivers tables ... Provide input into SAP, analysis specifications, and data presentations for clinical trials.

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Statistical Analysis information

See Massachusetts salary details

$32.8K

$76.9K

$128.3K

How much do statistical analysis jobs pay per year?

As of Sep 12, 2026, the average yearly pay for statistical analysis in Massachusetts is $76,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $88,500.00 per year, depending on experience, location, and employer.

What is statistical analysis?

Statistical analysis is the process of collecting, exploring, and interpreting large amounts of data to discover underlying patterns and trends. It involves applying mathematical techniques to summarize data, test hypotheses, and make informed decisions. Professionals use statistical analysis in fields like business, healthcare, social sciences, and engineering to support evidence-based conclusions and predict future outcomes. Common methods include descriptive statistics, inferential statistics, regression analysis, and hypothesis testing.

How does a statistical analyst typically collaborate with other departments within an organization?

Statistical Analysts regularly work with teams such as marketing, finance, product development, and operations to interpret data and provide actionable insights. They often participate in cross-functional meetings to understand departmental goals and ensure that their analyses align with business objectives. Effective communication of complex statistical findings to non-technical colleagues is a key part of the role, as is adapting analysis techniques to suit different project needs. This collaborative environment fosters both professional growth and a deeper understanding of the broader organization.

What are the key skills and qualifications needed to thrive as a statistical analyst, and why are they important?

To thrive as a Statistical Analyst, you need a solid background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or data science. Familiarity with statistical software like R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and present complex data clearly. These skills ensure that analyses are accurate, actionable, and effectively support decision-making in various industries.

What is the difference between Statistical Analysis vs Data Analyst?

AspectStatistical AnalysisData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; certifications like SAS or SPSSDegree in Data Science, Statistics, or related; similar certifications often preferred
Work EnvironmentResearch labs, academic institutions, or industries focusing on data modelingBusiness settings, tech companies, or marketing firms analyzing data for insights
Employer & Industry UsageUsed across academia, healthcare, finance for in-depth data modelingCommon in corporate, retail, and tech sectors for reporting and visualization

While both roles involve working with data, Statistical Analysis focuses on developing and applying statistical models to interpret data, often requiring advanced statistical knowledge. Data Analysts primarily interpret data to generate reports and insights for business decisions. Both roles share similar credentials but differ in scope and application.

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average for all occupations. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher compensation.
Infographic showing various Statistical Analysis job openings in Massachusetts as of August 2026, with employment types broken down into 79% Full Time, 16% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $76,941 per year, or $37 per hour.

Graduate Intern - Statistical Analysis

Boston, MA • On-site

Federal Reserve Bank of Boston
Finance and Insurance • 1 - 5K employees

$18 - $36/hr

Other

Re-posted 8 days ago


Job description

Graduate Intern – 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.