Data Science Analyst Visa Sponsorship Jobs in Connecticut
Connecticut's data science analyst market is concentrated in Hartford's insurance and financial services corridor, with major employers like Cigna, Aetna, and The Hartford actively hiring for analytical roles. Stamford's finance sector and Pfizer's Groton research campus add further demand, making Connecticut a meaningful destination for international data science analysts seeking visa sponsorship.
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Get Access To All JobsINTRODUCTION
Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!
ROLE
The Research Applications Data Quality Analyst will be responsible for overseeing the accuracy, consistency, and completeness of data within the Yale Clinical Trial Management System and other research-related applications. This role involves working closely with clinical research operations and IT teams to ensure that all data related to clinical trials is accurately recorded, maintained, and reported in a timely manner. The ideal candidate will have a strong background in data management, analytical skills, and an understanding of clinical trial processes.
PRINCIPAL RESPONSIBILITIES
- Data Quality Management: Ensure the accuracy, completeness, and consistency of data within the research applications by conducting regular data audits, validation checks, and discrepancy resolution.
- Monitoring and Reporting: Develop and implement data quality metrics and dashboards to monitor data quality trends and provide regular reports to stakeholders.
- Process Improvement: Identify areas for process improvement and recommend solutions to enhance data quality and streamline data entry workflows.
- Training and Support: Provide feedback to training team by identifying opportunities to improve data quality.
- Documentation: Maintain detailed documentation of data quality processes, findings, and corrective actions taken.
- Compliance: Ensure compliance with regulatory requirements and organizational policies related to data management and clinical trials.
BASIC QUALIFICATIONS
-
Analytical Skills: Strong analytical skills with the ability to interpret complex data sets and identify trends, discrepancies, and issues.
-
Technical Skills: Proficiency in clinical research software and other data management tools; strong knowledge of Excel and data visualization tools is a plus.
-
Attention to Detail: Exceptional attention to detail with a commitment to maintaining high data quality standards.
-
Communication: Excellent verbal and written communication skills, with the ability to effectively communicate data-related concepts to non-technical stakeholders. Ability to work collaboratively with cross-functional teams and build strong working relationships.
-
Problem Solving: Strong problem-solving skills with the ability to identify root causes of data issues and implement effective solutions.
PREFERRED QUALIFICATIONS
-
Bachelor’s degree in a related field such as Data Management, Information Technology, Life Sciences, or equivalent experience.
-
Minimum of 2 years of experience in data quality management, preferably within a clinical trial environment, or 5 years of experience working with clinical trial data systems.
-
Experience with regulatory requirements related to clinical trials (e.g., FDA, ICH-GCP, 21 CFR Part 11).
-
Experience with Epic Research module is a plus.
ADDITIONAL RESPONSIBILITIES
-
Develops the initial project charter and clarify the project scope, requirements, measurable outcomes, and project benefits in collaboration with process owners.
-
Documents the “as is” and “to be” business processes using standard process modeling tools and process improvement methodologies.
-
Decomposes high-level business and user requirements into functional requirements. Manages the development of functional specifications by collaborating with process owners; gathering business requirements; creating functional specifications; and identifying, documenting, and resolving design issues.
-
Represents requirements using alternative views, such as analysis models (diagrams), prototypes, or scenarios. Provides compelling and concise analysis to enable business owners to make well-informed decisions regarding options for problem resolution and opportunity realization.
-
Leads requirements analysis and verification, ensuring that requirement statements are complete, consistent, concise, comprehensible, traceable, feasible, unambiguous, and verifiable, and that they conform to standards.
-
Contributes in testing and quality assurance process. Collaborates with developers and end-users to ensure that application functionality meets client needs. Tests solutions, problem-solve issues, and coordinate enhancements.
-
Responsible for requirements prioritization and solution risk analysis.
-
Plans and communicates the departmental readiness plan. Supports metrics integration and execution for optimal results.
-
Develops and delivers training to end users.
-
May perform other duties as assigned.
REQUIRED EDUCATION AND EXPERIENCE
Bachelor’s degree in business, technology or related field. Four years of related experience in analysis of business needs and development of related business systems or an equivalent combination of education and experience.
JOB POSTING DATE
05/27/2026
JOB CATEGORY
Professional
BARGAINING UNIT
NON
COMPENSATION GRADE
Administration & Operations
COMPENSATION GRADE PROFILE
Manager; Program Leader (24)
SALARY RANGE
$68,000.00 - $120,500.00
TIME TYPE
Full time
DURATION TYPE
Staff
WORK MODEL
Remote
BACKGROUND CHECK REQUIREMENTS
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.
HEALTH REQUIREMENTS
Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.
POSTING DISCLAIMER
Salary offers are determined by a candidate’s qualifications, experience, skills, and education in relation to the position requirements, along with the role’s grade profile and current internal and external market conditions.
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department.
The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.
Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).
Yale University is a tobacco-free campus.
INTRODUCTION
Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!
ROLE
The Research Applications Data Quality Analyst will be responsible for overseeing the accuracy, consistency, and completeness of data within the Yale Clinical Trial Management System and other research-related applications. This role involves working closely with clinical research operations and IT teams to ensure that all data related to clinical trials is accurately recorded, maintained, and reported in a timely manner. The ideal candidate will have a strong background in data management, analytical skills, and an understanding of clinical trial processes.
PRINCIPAL RESPONSIBILITIES
- Data Quality Management: Ensure the accuracy, completeness, and consistency of data within the research applications by conducting regular data audits, validation checks, and discrepancy resolution.
- Monitoring and Reporting: Develop and implement data quality metrics and dashboards to monitor data quality trends and provide regular reports to stakeholders.
- Process Improvement: Identify areas for process improvement and recommend solutions to enhance data quality and streamline data entry workflows.
- Training and Support: Provide feedback to training team by identifying opportunities to improve data quality.
- Documentation: Maintain detailed documentation of data quality processes, findings, and corrective actions taken.
- Compliance: Ensure compliance with regulatory requirements and organizational policies related to data management and clinical trials.
BASIC QUALIFICATIONS
-
Analytical Skills: Strong analytical skills with the ability to interpret complex data sets and identify trends, discrepancies, and issues.
-
Technical Skills: Proficiency in clinical research software and other data management tools; strong knowledge of Excel and data visualization tools is a plus.
-
Attention to Detail: Exceptional attention to detail with a commitment to maintaining high data quality standards.
-
Communication: Excellent verbal and written communication skills, with the ability to effectively communicate data-related concepts to non-technical stakeholders. Ability to work collaboratively with cross-functional teams and build strong working relationships.
-
Problem Solving: Strong problem-solving skills with the ability to identify root causes of data issues and implement effective solutions.
PREFERRED QUALIFICATIONS
-
Bachelor’s degree in a related field such as Data Management, Information Technology, Life Sciences, or equivalent experience.
-
Minimum of 2 years of experience in data quality management, preferably within a clinical trial environment, or 5 years of experience working with clinical trial data systems.
-
Experience with regulatory requirements related to clinical trials (e.g., FDA, ICH-GCP, 21 CFR Part 11).
-
Experience with Epic Research module is a plus.
ADDITIONAL RESPONSIBILITIES
-
Develops the initial project charter and clarify the project scope, requirements, measurable outcomes, and project benefits in collaboration with process owners.
-
Documents the “as is” and “to be” business processes using standard process modeling tools and process improvement methodologies.
-
Decomposes high-level business and user requirements into functional requirements. Manages the development of functional specifications by collaborating with process owners; gathering business requirements; creating functional specifications; and identifying, documenting, and resolving design issues.
-
Represents requirements using alternative views, such as analysis models (diagrams), prototypes, or scenarios. Provides compelling and concise analysis to enable business owners to make well-informed decisions regarding options for problem resolution and opportunity realization.
-
Leads requirements analysis and verification, ensuring that requirement statements are complete, consistent, concise, comprehensible, traceable, feasible, unambiguous, and verifiable, and that they conform to standards.
-
Contributes in testing and quality assurance process. Collaborates with developers and end-users to ensure that application functionality meets client needs. Tests solutions, problem-solve issues, and coordinate enhancements.
-
Responsible for requirements prioritization and solution risk analysis.
-
Plans and communicates the departmental readiness plan. Supports metrics integration and execution for optimal results.
-
Develops and delivers training to end users.
-
May perform other duties as assigned.
REQUIRED EDUCATION AND EXPERIENCE
Bachelor’s degree in business, technology or related field. Four years of related experience in analysis of business needs and development of related business systems or an equivalent combination of education and experience.
JOB POSTING DATE
05/27/2026
JOB CATEGORY
Professional
BARGAINING UNIT
NON
COMPENSATION GRADE
Administration & Operations
COMPENSATION GRADE PROFILE
Manager; Program Leader (24)
SALARY RANGE
$68,000.00 - $120,500.00
TIME TYPE
Full time
DURATION TYPE
Staff
WORK MODEL
Remote
BACKGROUND CHECK REQUIREMENTS
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.
HEALTH REQUIREMENTS
Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.
POSTING DISCLAIMER
Salary offers are determined by a candidate’s qualifications, experience, skills, and education in relation to the position requirements, along with the role’s grade profile and current internal and external market conditions.
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department.
The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.
Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).
Yale University is a tobacco-free campus.
Data Science Analyst Job Roles in Connecticut
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Search Data Science Analyst Jobs in ConnecticutData Science Analyst Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Connecticut?
Connecticut's largest visa sponsors for data science analyst roles are concentrated in insurance, finance, and life sciences. Cigna, Aetna, and The Hartford regularly file H-1B visa petitions for analytical positions in the Hartford area. Stamford-based financial firms including UBS and Synchrony Financial also sponsor, as does Pfizer at its Groton research campus. Smaller fintech and healthtech companies in the state sponsor less frequently.
Which visa types are most common for data science analyst roles in Connecticut?
The H-1B is the most common visa for data science analysts in Connecticut, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. Candidates already holding OPT or STEM OPT through nearby universities like Yale or UConn often transition to H-1B sponsorship through Connecticut employers. The O-1A is an option for analysts with exceptional research credentials.
Which cities in Connecticut have the most data science analyst sponsorship jobs?
Hartford is the primary hub, driven by the dense concentration of insurance carriers and financial services firms headquartered there. Stamford is a strong secondary market, particularly for data analysts supporting financial services and corporate analytics functions. Groton and New Haven offer opportunities in life sciences and university-affiliated research, respectively. Remote-flexible roles posted by Connecticut employers can also be accessible from anywhere in the state.
How to find data science analyst visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data science analyst roles in Connecticut without sifting through positions that don't offer sponsorship. The platform surfaces openings from insurance companies, financial firms, and life sciences employers across Hartford, Stamford, and other Connecticut markets, making it a practical starting point for international candidates targeting this state.
Are there state-specific factors that affect data science analyst sponsorship in Connecticut?
Connecticut's dominant industries, insurance and financial services, tend to hire data science analysts for highly specialized actuarial modeling, risk analytics, and underwriting intelligence roles. This specificity works in candidates' favor when documenting specialty occupation status for H-1B purposes, as degree-to-job-duty alignment is typically straightforward. UConn and Yale produce a steady pipeline of graduate-level analysts, which means employer familiarity with international student sponsorship processes is generally higher than in less research-intensive states.
What is the prevailing wage for sponsored data science analyst jobs in Connecticut?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.