Data Analytics Engineer Visa Sponsorship Jobs in Connecticut
Connecticut's data analytics engineer job market is anchored by insurance and financial services giants like Cigna, Aetna, and Hartford Financial Services, along with major defense contractors in Groton and Stratford. Hartford and Stamford lead for sponsorship opportunities, with biotech and pharma firms in New Haven adding steady demand for analytics engineering talent.
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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!
Overview
The Senior Clinical Data & Analytics Engineer will maintain and develop reporting systems to support Yale Medicine Clinical Practice. This role focuses on SQL-driven data analytics, reporting, and business intelligence to support Finance, Revenue Cycle, and operational leadership.
The ideal candidate will have strong SQL and data visualization skills, with experience working with healthcare or financial data. This individual will transform raw data into actionable insights and develop reports and dashboards for a variety of stakeholders.
Required Skills and Abilities
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Strong SQL programming skills with demonstrated experience writing complex queries. Proficiency in SQL Server, including database objects and stored procedures.
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Experience with business intelligence tools, ideally Microsoft Power BI and Tableau. SAP Business Objects experience is a plus. Ability to independently build reports, including identifying data sources, designing queries, and performing QA/testing.
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Ability to analyze complex datasets, translate business requirements into technical solutions, and deliver accurate, actionable insights.
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Proficiency in Microsoft Excel and Microsoft Access, including developing and maintaining data-driven processes and workflows.
Preferred Skills and Abilities
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Experience strongly preferred in Healthcare, Public Health, Business Administration, Healthcare, Data Science, or related field.
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Experience with Epic Data Structures (Clarity) and/or Epic reporting tools, SAP Business Objects, knowledge of accounting or financial reporting concepts, and evaluating and recommending software or technology solutions.
Principal Responsibilities
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Provides technical expertise in critical and complex areas and lead major projects. Develops large programs and systems.
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Takes leadership role in the design and delivery of applications, programs, and systems. Evaluates departmental business and administrative processes and needs. Ensures the expectations of stakeholders intended end users needs, scheduled timeline, and budgetary targets are met.
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Defines and executes quality assurance and unit testing procedures to ensure high quality solutions. Provides a lead role in the collaborative process of planning, developing and implementing business solutions. Performs complex and unusual problem solving.
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Provides technical guidance to leadership. Takes leadership role in providing recommendations, technical guidance, project definition, and development of the technical design and documentation for projects which includes architectural design, technology selection and methodologies to apply. Creates, communicates, and manages project plans.
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Leads and oversees ongoing maintenance and support for applications and systems. Interfaces with vendors to resolve major software issues. Responsible for final decisions on purchases of hardware and software products.
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Drive the development of systems documentation. Develops formal design proposals and cost and time estimates for new systems.
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Leads, trains, and mentors technical staff. Oversees and provides training for end users.
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Recommends and creates new policies and best practices.
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Applies and keeps current with existing and emerging technologies and methodologies. Provides ongoing input to the establishment of programming standards, procedures, and methodologies.
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May perform other duties as assigned.
Required Education and Experience
Bachelor's degree. Six years of related experience in analysis and programming of medium to large-scale systems or an equivalent combination of education and experience.
Job Posting Date
04/22/2026
Job Category
Professional
Bargaining Unit
NON
Compensation Grade
Administration & Operations
Compensation Grade Profile
Manager; Program Leader (26)
Salary Range
$92,000.00 - $146,750.00
Time Type
Full time
Duration Type
Staff
Work Model
Hybrid
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).
Note
Yale University is a tobacco-free campus.
Data Analytics Engineer Job Roles in Connecticut
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Search Data Analytics Engineer Jobs in ConnecticutData Analytics Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in Connecticut?
Insurance and financial services companies are among the most active sponsors for data analytics engineers in Connecticut. Cigna, Aetna, and Hartford Financial Services have consistent H-1B visa filing histories for data and analytics roles. Defense contractors like Sikorsky and Electric Boat also hire in this space. Bioscience employers around New Haven, including those connected to Yale's research ecosystem, round out the sponsoring employer pool.
Which visa types are most common for data analytics engineer roles in Connecticut?
The H-1B is the most common visa category for data analytics engineers in Connecticut. The role typically qualifies as a specialty occupation because it requires at least a bachelor's degree in computer science, statistics, or a related field. Candidates already on F-1 OPT or STEM OPT extension can work for a sponsoring employer before the H-1B petition is filed. The O-1A is an option for candidates with a strong record of technical recognition or significant published work.
Which cities in Connecticut have the most data analytics engineer sponsorship jobs?
Hartford and Stamford are the primary hiring centers for data analytics engineers in Connecticut. Hartford's concentration of insurance carriers and financial services firms drives consistent demand for analytics engineering talent. Stamford attracts hedge funds, media companies, and financial technology employers. New Haven has a growing presence anchored by Yale University and affiliated biotech firms. Greenwich also sees demand from investment management and private equity employers with data infrastructure needs.
How to find data analytics engineer visa sponsorship jobs in Connecticut?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and filters jobs by role and state, making it straightforward to browse data analytics engineer openings in Connecticut without sifting through listings from employers who don't sponsor. Focusing on Hartford and Stamford employers in insurance, financial services, and fintech will surface the highest concentration of sponsoring companies for this role in the state.
Are there state-specific factors that affect data analytics engineer sponsorship in Connecticut?
Connecticut's insurance industry is regulated at the state level, which creates sustained demand for data analytics engineers who can work with compliance and actuarial data systems. The state also has a high cost of living relative to national averages, which influences prevailing wage determinations that employers must certify when filing an LCA for H-1B petitions. Candidates connected to UConn or Yale graduate programs often enter the Connecticut market through university-affiliated hiring pipelines with employers already familiar with sponsorship.
What is the prevailing wage for sponsored data analytics engineer 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.