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Masters In Statistics Jobs in Wallingford, CT (NOW HIRING)

Webster Bank

Manager, Financial Analytics

Waterbury, CT

$107K - $141K/yr

Education * Bachelors,Masters'in statistics, datascience, computer scienceor otherSTEMfields (e.g., physics, math, engineering, etc.)Finance or Business MS/MBAwithstrongquantitativeand ...

Varsity Tutors

Business Statistics Tutor

New Haven, CT · Remote

$18 - $40/hr

What We Look For In a Business Statistics Tutor * Advanced Subject Mastery: Deep knowledge of ... MBA quantitative coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ...

Varsity Tutors

Business Statistics Tutor

Hartford, CT · Remote

$18 - $40/hr

What We Look For In a Business Statistics Tutor * Advanced Subject Mastery: Deep knowledge of ... MBA quantitative coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ...

ImmaCare Inc.

Supportive Housing Manager

Hartford, CT · On-site

Masters or Bachelors degreepreferredin social work, human services or related field and3-5 years ... This position overseesdaily operations of permanentsupportivehousingprograms ; time in the office ...

PSG Global Solutions

Manufacturing Engineer I

North Haven, CT · On-site

$72K - $93K/yr

Duties include managing and/or participating in cross functional teams to accomplish project ... Review manufacturing equipment and processes for improvement potential using statistical data and ...

Ensign-Bickford Industries

Quality Engineer

Simsbury, CT · On-site

$73K - $94K/yr

Use statistical methods to improve product quality and reduce defects. * Conduct GR&R and process ... Requirements: * Bachelor's or Masters degree in relevant engineering discipline * 5+ years of ...

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All JobsMasters In Statistics JobsMasters In Statistics Jobs in Wallingford, CT

Masters In Statistics information

See Wallingford, CT salary details

$40.6K

$83.9K

$117.3K

How much do masters in statistics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for masters in statistics in Wallingford, CT is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $116,300.00 per year, depending on experience, location, and employer.

What can you do with a master's in statistics?

A Master's in Statistics opens up a wide range of career opportunities in various industries, including healthcare, finance, government, technology, and research. Graduates often work as data analysts, statisticians, biostatisticians, data scientists, or research scientists. They are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This degree also provides a strong foundation for pursuing doctoral studies or specialized roles in academia and industry.

What types of roles and industries typically hire professionals with a master's in statistics, and how do these roles differ in daily responsibilities?

A Master's in Statistics opens doors to a variety of roles across industries such as healthcare, finance, technology, government, and research institutions. For example, statisticians in healthcare may focus on designing clinical trials and analyzing patient outcomes, while those in finance might develop risk models or forecast market trends. In tech, statisticians often collaborate with data scientists and engineers to optimize algorithms or interpret large data sets. Daily responsibilities can range from data cleaning and analysis to presenting findings and advising stakeholders, with collaboration and communication being key across all sectors.

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

To thrive as a Statistician, you need strong quantitative analysis skills, a solid foundation in probability and statistical theory, and typically a master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience with data management systems are common technical requirements. Excellent problem-solving abilities, attention to detail, and clear communication skills help statisticians interpret data and explain results to non-experts. These skills are vital for providing accurate analyses that inform decision-making and drive research or business strategies.

What is the difference between Masters In Statistics vs Data Analyst?

AspectMasters In StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's or Master's degree in related fields like Business, Economics, or Computer Science
Work EnvironmentResearch, academia, data science teams in various industriesBusiness, finance, marketing departments, often in corporate settings
Industry UsageUsed in research, academia, specialized data science rolesApplied in business decision-making, reporting, and operational analysis

Masters In Statistics and Data Analyst roles share overlapping skills in data handling and analysis. However, a Masters In Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on applying data skills to solve business problems, often with less emphasis on theoretical research. Both roles are vital in data-driven industries, but their focus and career paths differ.

Masters In Statistics jobs near you
Infographic showing various Masters In Statistics job openings in Wallingford, CT as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Manager, Financial Analytics

Webster Bank

Waterbury, CT

$107K - $141K/yr

Full-time

Posted 19 days ago

Webster Bank rating

7.1

Company rating: 7.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

123rd of 171 rated banks

Job description

If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster's values, these set us apart as a bank and as an employer.

Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!

The Financial Analytics Manager is responsible for the quarterly execution of the vendor models. This includes the preparation of CECL loan data across each of the relevant portfolios, coordination with data, credit, business line, and operations teams on any issues, and presenting the results to the CECL Committee and external auditors at least quarterly.

Theroleplays a key role in bridging business objectives with data-driven insightsat Webster. This positionis responsible for understanding and translating complex business requirements into analytical solutions, leveragingWebster'sdatasystems andtools,designing coding and maintainingdata workflows.The role involves overseeing the integration and processing of both structured and unstructured data sourcesto enhance data usability.Theindividual needs to collaborate withIT, DataTeam,andLoBpartners in developingdataworkflows,dataanalysisandreporting.TheManager Financial Analyticsrole designs and supports statistical and predictive models that inform strategic decision-making. This roleis right for you if you're a "hands-on" coderand analyst, take ownership and sound business understanding.

Primary Responsibilities

  • Develop expert knowledge and experience with Webster's data systems and tools.

  • Develop strong relationships with Webster lines of business, Finance,Credit, Data,Risk & IT partnersto ensure consistency and appropriateness of the team's various processes and impact on FA models.This includes changes to external systems, changes in database content and structure, and changes in applied methodology.

  • Execute and supportDual RiskRatingmodel building, monitoring and model refresh.

  • Analyze and organize largestructured and unstructureddata to derive actionable insights and support decision-makingprocesses.

  • Assist FA team and collaborate internally.Document and communicate changes to data structure, content and logic that has impact on models. Assist in the coding and testing of changes to existing models.

  • Collaborate with cross-functional teams to understand data requirements, business objectivesand implement effectivesolutions.

  • Work with external data sources, APIs.

Required Skills& Experience

  • 3+years ofindustryexperienceinData Analytics,Data Science,DataEngineering,Software Developmentor relatedfield.

  • Experience working with complex data structureswithin a RDMS (Oracle, SQL).

  • Proficient in Python/SASProgramming Language.

  • Knowledge of advanced statistical techniques and concepts and experience with applications.

  • Experienceinbuilding, validating and deploying statistical or predictive models.

  • Strongbusiness knowledge and familiarity withfinancial data systems and architecture.

  • Ability to interpret and translate business needs into analytical frameworks.

  • Strong analytical and problem-solving skills and ability to work in a collaborative team environment.

  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

  • Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated and socially intelligent.

  • Technically oriented, proactive, and enthusiastic, with good attention to details.

  • Proven ability to manage multiple priorities, meet deadlines, and adapt to changing business needs in a fast-paced environment.

Preferred Skills & Experience

  • 5+years ofindustry experience in Data Analytics, Data Science, Data Engineering, Software Development or related field.

  • Experience working with unstructured datausing advanced OCR and NLP techniques.

  • Experiencewith one or more cloud-based computing platforms: AWS, Azure, GCP.

  • Experiencein designing efficient and robust data workflows(e.g.- Apache Airflow).

  • Experience in integrating automated unit test cases and code scanning tools with CI/CD pipeline (E.g. - GitLab).

  • Experience in developing constructive relationships with a wide range of different stakeholders.

  • Ability to independently gather data from various sources and conduct research.

  • Ability to think "out of the box"andprovide suggestions on ways to improvethe process.

Education

  • Bachelors,Masters'in statistics, datascience, computer scienceor otherSTEMfields (e.g., physics, math, engineering, etc.)Finance or Business MS/MBAwithstrongquantitativeand programmingbackgroundalso acceptable.

The estimated salary range for this position is $110,000USD to $130,000USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.

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Webster Financial Corporation and its subsidiaries ("Webster") are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.

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