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Insurance Data Analytics Jobs in Manchester, CT (NOW HIRING)

Nassau

Analyst (Business Data Management)

Hartford, CT · On-site

Bachelor's degree in Computer Science, Statistics, Data Analytics, Actuarial-related or other job-related field * 0-5 years of progressively responsible experience in insurance or financial services ...

The Hartford

Associate Bus Data Analysis

Hartford, CT · On-site +1

$54K - $81K/yr

Associate Bus Data Analysis - GA09AN We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every ...

CVS Health

Principal Data Engineer

Hartford, CT · On-site +1

$147K - $288K/yr

... offline analytic processing; collaborate with Data Science team to transform data and integrate ... The Company provides a fully-paid term life insurance plan to eligible employees, and short-term ...

CVS Health

Principal Data Engineer

Hartford, CT · On-site +1

$147K - $288K/yr

Designing data models and solutions for analytical and reporting use cases;Big Data implementation ... The Company provides a fully-paid term life insurance plan to eligible employees, and short-term ...

CVS Health

Sr Data Scientist

Hartford, CT · On-site +1

$105K - $203K/yr

Analytics, or a related field and one (1) year of experience in the job offered or related ... The Company provides a fully-paid term life insurance plan to eligible employees, and short-term ...

Cigna

Business Analytics Director

Bloomfield, CT · On-site +1

Influence decision-making through clear storytelling and data-driven recommendation Cross ... We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of ...

Cigna

Business Analytics Director

Bloomfield, CT · On-site +1

Influence decision-making through clear storytelling and data-driven recommendation Cross ... We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Manchester, CT

Insurance Data Analytics information

See Manchester, CT salary details

$24

$55

$95

How much do insurance data analytics jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for insurance data analytics in Manchester, CT is $55.29, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $62.64 per hour, depending on experience, location, and employer.

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.

How is data analytics used in insurance?

Insurance Data Analytics involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. Data analysts in this field use statistical tools and machine learning techniques to inform decision-making and optimize insurance operations.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

Is 40 too late for data science?

For an Insurance Data Analytics role, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning over age. Many professionals transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications.

Is AI replacing data analysts?

Insurance Data Analysts use AI tools to enhance data processing and insights, but AI is not replacing the role entirely. Instead, it automates routine tasks, allowing analysts to focus on complex analysis, strategy, and decision-making that require human judgment and domain expertise.

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 popular job titles related to Insurance Data Analytics jobs in Manchester, CT? For Insurance Data Analytics jobs in Manchester, CT, the most frequently searched job titles are:
Insurance Data Analytics jobs near you
Operations Senior Manager Data Analytics (Hybrid)

Operations Senior Manager Data Analytics (Hybrid)

Raytheon Technologies Corporate Headquarters

Farmington, CT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Date Posted:

2026-01-08

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:

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

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 10 years of experience (7 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 132,400 USD - 251,600 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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