Data Analytics Engineer Jobs in Connecticut
Data Analytics Engineer jobs in Connecticut are concentrated in Hartford, Stamford, and New Haven, where employers across insurance, financial services, and life sciences maintain active analytics teams. Aetna, Travelers, and United Technologies have long-standing Connecticut operations and consistently hire data analytics engineers across data pipeline development, cloud infrastructure, and business intelligence. Demand runs from associate-level roles to senior engineers leading platform architecture. Scan the live roles below and apply to whichever ones fit.
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Eversource will not offer immigration-related sponsorship for this position (e.g., H-1B, O-1, J-1, TN, E-3, etc.). Applicants requiring visa sponsorship to start employment with Eversource will not be considered.
Role and Scope of Position:The Data Analyst is responsible for supporting the execution of the Company’s data analytics as related to ESRI Geographical Information System (GIS) associated with the Company’s electrical system. Individual will perform complex data analysis using ArcGIS and related extensions/add-ons, relational databases, and other computer software; understands and can apply the capabilities of GIS, databases, and other computer programs to solve complex spatial and relational problems. In this position you will be focused on conducting data analysis and preparation of documents, data reports, GIS dashboards, and maps. Individual will also leverage Eversource data (GIS, Work Management, NMS, etc.) with non-Eversource data (Communities, Environmental Impact, Capacity Studies, etc.) for complex analytics.
Essential Functions:
- Work with members of the team and department to define problems and clarify objectives; determines spatial data needs and assists in designing collection tools and reports. Evaluates spatial and non-spatial data and reports to assess if reporting meets end user requirements.
- Conducts data analysis and preparation of documents, data reports, GIS dashboards, and maps.
- Review, analyze and consolidate data from multiple disparate sources including usage of FME, SQL, Python, and REST.
- Communicates complex technical issues both verbally and in writing to non-technical GIS users.
- Provide support for the data maintenance and data quality effort.
- Support internal and external tracking and reporting requirements associated with GIS data and electric distribution/transmission, including reporting of metrics related to the achievement of project benefits.
- Planning, organizing, decision-making and time management, including the ability to appropriately prioritize assignments.
- Systematically identify and analyze the important dimensions of a problem, determining potential causes, obtaining relevant information, and specifying alternate solutions, then carrying out solutions or referring to the appropriate authority.
- Will be required to support Emergency Restoration efforts throughout the Eversource service territory.
Technical Knowledge/Skill/Education/Licenses/Certifications:
Technical Knowledge/Skill:
- Extensive knowledge of hands-on experience with ArcGIS Desktop, Model Builder, ArcGIS Enterprise, ArcGIS Online, Insights, Portal, StoryMaps, Power Bi and other online mapping solutions or current equivalent.; demonstrated competency and proficiency in oral and written communications.
- Strong demonstrated knowledge with FME, SQL, Python, and REST.
Education:
- Requires a Bachelor of Science Degree in Computer Science, Engineering or related quantitative field (MS in Computer Science or equivalent preferred)
- Certification as a GIS Professional (GISP) preferred.
Experience:
- Three + years of experience with ESRI; experience in spatial and relational data analysis, data management, analytical modeling, statistics, and mobile opportunities (e.g., remote sensing, GPS, etc.) within the electrical utility industry.
Working Conditions:
- Must be available to work emergency restoration assignment as required.
- Must be available to travel between MA/CT/NH as necessary.
#LI-ES3
#LI-Hybrid
#engajd
Competencies:
Build trusting relationships
Manage and develop people
Foster teamwork and cross-functional collaboration
Lead change
Communicate strategic vision
Create an engaged workforce
Focus on the customer
Take ownership & accountability
Compensation and Benefits:
Eversource offers a competitive total rewards program. Check out our careers site for an overview of our benefits programs. Salary is commensurate with your experience. This position is eligible for a potential incentive. The annual salary range for this position is:
$88,630.00-$98,480.00Worker Type:
RegularNumber of Openings:
1Emergency Response:
Responding to emergency situations to meet customers’ needs is part of every employee’s role. If employed, you will be given an Emergency Restoration assignment. This means you may be called to assist during an emergency outside of your normal responsibilities, work hours and location.
EEO Statement:
Eversource Energy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, sexual orientation, gender identity, national origin, religion, disability status, or protected veteran status.
VEVRRA Federal Contractor
See All 11 Data Analytics Engineer Jobs in Connecticut
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Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Connecticut
Where Connecticut roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Connecticut
A snapshot from current Connecticut openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Insurance
- Manufacturing
- Science & Research
- Accounting & Auditing
- Hospitality & Tourism
What Connecticut Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Connecticut.
- Bachelor's degree in computer science, statistics, engineering, or a closely related field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Hands-on experience building and maintaining data pipelines using tools like Apache Spark or dbt
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud data services
- Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
- Strong ability to collaborate with data scientists and business analysts to deliver analytics solutions
Data Analytics Engineer Jobs in Connecticut: Frequently Asked Questions
How do you become a data analytics engineer in Connecticut?
Data analytics engineer roles in Connecticut do not require a state-issued license or registration. Most employers expect a bachelor's degree in computer science, data science, statistics, or engineering, combined with demonstrated experience building data pipelines and working with cloud platforms. Connecticut's large insurance and financial services employers tend to favor candidates with domain knowledge in those industries, while life sciences companies in the New Haven corridor often look for familiarity with regulatory data environments.
How much do data analytics engineers make in Connecticut?
Data analytics engineers in Connecticut earn a median of about $126,340 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $75,700 for the lowest 10% to over $204,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics engineers in Connecticut?
Connecticut data analytics engineer roles are posted by The Cigna, Deloitte, and Travelers and others right now, based on current listings on Migrate Mate as of September 2026. Connecticut's concentration of insurance headquarters and financial services firms means demand is particularly consistent in Hartford and Stamford, where large established organizations maintain dedicated data engineering teams.
Which Connecticut cities have the most data analytics engineer jobs?
Hartford, Bloomfield, and Berlin lead Connecticut for data analytics engineer openings. Hartford's density of major insurance carriers and financial institutions drives the bulk of demand, while Stamford attracts postings from financial services and media companies with tri-state footprints, and New Haven benefits from its life sciences corridor and proximity to Yale's research ecosystem.
Are there remote data analytics engineer jobs in Connecticut?
Yes, and more than most fields. About 56% of data analytics engineer openings tied to Connecticut are remote or hybrid as of September 2026, reflecting how naturally the work lends itself to distributed teams. The most consistently remote portions of the role are pipeline development, cloud infrastructure work, and analytics platform maintenance, where output is measured by deliverables rather than physical presence.
How can I get hired as a data analytics engineer in Connecticut with little or no experience?
The most realistic entry path is through an analytics engineer associate or junior data engineer role at one of Connecticut's large insurance or financial services employers, which regularly bring in recent graduates. Aetna and Travelers have historically run rotational technology programs that include data engineering tracks. Building a portfolio of personal or open-source pipeline projects and earning a cloud certification from AWS or Google Cloud strengthens an application considerably, as does transitioning from a closely adjacent role such as data analyst or ETL developer within the same organization.
Where can I find and apply to data analytics engineer jobs in Connecticut?
You can find and apply to data analytics engineer jobs in Connecticut on Migrate Mate, which lists current Connecticut openings. Search the roles available, find the ones that fit your experience and preferences, and apply directly to whichever positions match what you are looking for.
See All 11 Data Analytics Engineer Jobs in Connecticut
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