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Statistical Analyst Jobs in Vermont (NOW HIRING)

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

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You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

You will also participate in hands-on training sessions to learn sophisticated analytical and statistical techniques used in our day-to-day work. Following orientation, you will join a case team(s ...

New

Analyze KPIs and process performance using statistical tools, identify trends, and implement improvements based on data insights. * Design and deliver quality-related training programs to staff ...

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Showing results 1-20

Statistical Analyst information

See Vermont salary details

$31.9K

$74.9K

$124.9K

How much do statistical analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for statistical analyst in Vermont is $74,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $86,100.00 per year, depending on experience, location, and employer.

What does a statistical analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

What are some common challenges statistical analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

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 strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What is a statistical analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.
What are popular job titles related to Statistical Analyst jobs in Vermont? For Statistical Analyst jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Statistical Analyst jobs in Vermont look for? The top searched job categories for Statistical Analyst jobs in Vermont are:
What are popular job titles related to Statistical Analyst jobs in VT? For Statistical Analyst jobs in VT, the most frequently searched job titles are:
Infographic showing various Statistical Analyst job openings in Vermont as of July 2026, with employment types broken down into 85% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $74,907 per year, or $36 per hour.

Senior Intelligence Analyst

University of Chicago Library

Hyde Park, VT • On-site

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

156th of 616 rated colleges and universities


Job description

Department

OPS DSS Police: Support Services Bureau


About the Department

The University of Chicago Police Department (UCPD) is a full service, CALEA-accredited police department serving the University of Chicago and surrounding areas from 37th Street to 64th Street, and Cottage Grove Avenue to Lake Shore Drive. Members of the Department are committed to conducting their work in a respectful and dignified manner while providing a safe environment for those who live, learn, and work in our community.


Job Summary

The Senior Intelligence Analyst is a highly experienced and skilled professional who leads the research and analysis of public safety and crime data. This role is critical in providing expert insights and recommendations for mapping, trending, identifying crime patterns, and predicting and solving crimes. The Senior Intelligence Analyst performs statistical analyses, develops intelligence products, and supports strategic planning and complex investigations. This position also provides leadership on investigative strategies, assisting both investigators and Crime Analysts, and performs related duties as required.
This position is located within the University of Chicago Police Department and is assigned to the Strategic Operations Center (SOC), a 24/7 operation housing the dispatch and video patrol functions. The SOC is staffed with emergency dispatchers, video patrol officers, and a shift commander holding the captain rank. The Senior Intelligence Analyst will collaborate closely with these personnel, supporting field resources and complex investigations.
The University of Chicago Police Department (UCPD) is a full-service, CALEA-accredited police department serving the University of Chicago and surrounding areas from 37th Street to 64th Street, and Cottage Grove Avenue to Lake Shore Drive. Members of the Department are committed to conducting their work in a respectful and dignified manner while providing a safe environment for those who live, learn, and work in our community.

Responsibilities

  • Analyzes criminal intelligence information and prepares detailed intelligence reports and bulletins to assist in strategic planning and resource deployment for crime prevention and suppression. Provides direct support for complex investigations, contributing to case clearance and suspect identification.
  • Researches, compiles, analyzes, and interprets statistical data and criminal intelligence information from various sources, including previous investigations, legal instruments, information systems, and social media, while ensuring compliance with 28 CFR Part 23.
  • Disseminates intelligence information to aid in the prevention and detection of criminal activity. Coordinates the exchange of intelligence information with internal and external agencies and departments.
  • Evaluates and processes tip information, determining when follow-up is needed. Prepares responses for Patrol Services and Investigations and identifies when tips meet criteria for further reporting. Makes recommendations on appropriate dissemination recipients.
  • Provides recommendations on the latest trends, methods, and technology to UCPD/SOC leadership. Participates in ongoing professional development as required.
  • Participates in crime report meetings and develops partnerships with external agencies to enhance the information-sharing environment.
  • Utilizes and maintains specialized computer applications to analyze and disseminate crime data.
  • Supports the SOC's mission by performing other duties as assigned in support of public safety.
  • Works directly with Criminal Investigations Unit on complex or on-going pattern criminal activity.
  • Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.
  • Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Partners with other campus teams to assist faculty with data science related needs.
  • Performs other related work as needed.


Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.


Work Experience:

Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.


Certifications:

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Preferred Qualifications

Education:

  • College or university degree in national security, international affairs, or a related field.

Experience:

  • At least five (5) years of experience as an intelligence analyst, with significant experience in creating intelligence products, including strategic planning reports based on criminal and homeland security data or direct case support for large, complex investigations.
  • Background working with large, complex, and/or administrative datasets.

Technical Skills or Knowledge:

  • Direct experience working with analytic tools, such as Tableau, Analyst's Notebook, Palantir, or similar programs.
  • Deep knowledge of the intelligence cycle, critical thinking skills, and experience applying multiple research methods in an operational context.
  • Familiarity with GIS application software, particularly ArcGIS, and experience with GIS data modeling techniques.
  • Knowledge of research methodology, statistical analysis, and survey design.
  • Proficiency in project management and problem-solving techniques to enhance operational processes.

Preferred Competencies

  • Proven ability to communicate complex information effectively to a wide range of stakeholders, including law enforcement personnel, university officials, and external partners.
  • Strong understanding of information security principles, relevant laws, and regulations governing the release and classification of intelligence data.
  • Demonstrated leadership or supervisory experience, able to mentor and guide junior analysts.

Working Conditions

  • Frequent standing and sitting, with occasional walking.
  • Lift and/or move up to 10 pounds regularly.

Application Documents

  • Resume/CV (required)
  • Cover Letter (preferred)
  • Letters of recommendation (preferred)


When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.


Job Family

Research


Role Impact

Individual Contributor


Scheduled Weekly Hours

40


Drug Test Required

Yes


Health Screen Required

No


Motor Vehicle Record Inquiry Required

Yes


Pay Rate Type

Salary


FLSA Status

Exempt


Pay Range

$95,000.00 - $105,000.00

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.


Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.

In addition to the base pay posted above, this position may be eligible for N/A


Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.


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