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Insurance Data Analytics Jobs in Connecticut (NOW HIRING)

Amicis Global

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

... analytics business requirements completely and accurately from stakeholders. • Performs ... Insurance industry and data warehouse or reporting/analytic projects • Proficient in industry ...

Collabera

Data Analyst

Hartford, CT

... insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Primary ... Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software.

Wilson Elser

Data Analyst

Stamford, CT · Hybrid

$80K - $90K/yr

The Position This hands-on Data Analyst position will reside within the Firm's Business Solutions ... life insurance. Details of participation in these benefit plans will be provided if an employee ...

Travelers Insurance

Senior Data Engineer

Hartford, CT · On-site

$139.40K - $230K/yr

In this role, you will lead the design, development, and operationalization of enterprise-grade data pipelines that transform raw insurance and operational data into high-quality, analytics-ready ...

Belcan

Project Data Analyst

Windsor, CT · On-site

$29 - $35/hr

Data Analyst Pay Rate: $29-35/hour Locations: Windsor, CT 06120 Asheville, NC 28801 Area Codes: 860 ... Benefits offered MAY include health, dental, vision, and life insurance; 401(k); education ...

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$23

$52

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How much do insurance data analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for insurance data analytics in Connecticut is $52.08, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.99 per hour, depending on experience, location, and employer.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.
More about Insurance Data Analytics jobs
What are the most commonly searched types of Insurance Data Analytics jobs in Connecticut? The most popular types of Insurance Data Analytics jobs in Connecticut are:
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What job categories do people searching Insurance Data Analytics jobs in Connecticut look for? The top searched job categories for Insurance Data Analytics jobs in Connecticut are:
What cities in Connecticut are hiring for Insurance Data Analytics jobs? Cities in Connecticut with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Connecticut as of May 2026, with employment types broken down into 77% Full Time, 11% Part Time, 6% Temporary, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $108,326 per year, or $52.1 per hour.
Operations Data Analytics Manager (Hybrid)

Operations Data Analytics Manager (Hybrid)

Raytheon Technologies

Farmington, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Date Posted:
2026-01-06
Country:
United States of America
Location:
UT6: 4 Farm Springs 4 Farm Springs Road, Farmington, CT, 06032 USA
Position Role Type:
Unspecified
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance:
None/Not Required
RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.
The following position is to join our RTX Corporate team:
Position Overview:
This role will support key strategic operations and supply chain initiatives across RTX and play a critical role honing the precision of our global operations. The ideal candidate has a consulting mindset, thrives in a problem-solving environment, and demonstrates the ability to work collaboratively with cross-functional teams to drive meaningful impact. Candidates with experience in financial planning and analysis (FP&A), strategy consulting, and supply chain or manufacturing operations will excel in this role.
What You Will Do:
  • Problem Solving and Analytical Insight:
    • Apply a structured problem-solving approach to diagnose challenges, identify opportunities, and develop actionable solutions for complex business challenges.
    • Synthesize large datasets and unstructured information into meaningful insights that support strategic decision-making.
    • Leverage advanced analytics tools and techniques to uncover opportunities for operational optimization and cost reduction.

  • Strategic Thinking:
    • Collaborate and consult with stakeholders to shape strategic priorities and align initiatives with organizational goals.
    • Contribute to the development of business cases and strategy roadmaps for high-impact projects.

  • Collaborative Engagement:
    • Work closely with cross-functional teams, including finance, operations, and supply chain, to ensure alignment on project objectives and deliverables.
    • Collaborate with cross-functional teams through the operations council framework to translate data insights into efficient, scalable actions.
    • Facilitate workshops and discussions leveraging our CORE operating model to guide teams through recommendations.

  • Presentation and Communication:
    • Translate complex analysis into clear, compelling narratives and recommendations for senior leadership.
    • Develop high-quality presentations and reports that effectively communicate insights and strategic recommendations.

Qualifications You Must Have:
  • Bachelor's degree in Business, Supply Chain Management, Finance, Analytics, Engineering, or related field (Master's degree preferred).
  • Minimum of 8 years of experience (5 years with advanced degree) working in in data analysis, FP&A, strategy consulting, applied to Supply Chain/Operations/Manufacturing

Qualifications We Prefer:
  • Demonstrated ability to solve complex problems using structured frameworks and methodologies.
  • Exceptional communication and interpersonal skills with the ability to influence and collaborate effectively across teams.
  • Strong business acumen with proven record for delivering measurable impact.
  • Experience at a consulting firm or in a strategy-focused role within a multinational organization.
  • Proven ability to manage multiple priorities and deliver results in a dynamic environment.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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