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Insurance Data Analytics Jobs in Connecticut (NOW HIRING)

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 ...

Data Analyst

Stamford, CT · On-site

$120K - $140K/yr

... analyzing master data and data sources and identifying trends and patterns that can be used to ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

... 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.

Insurance Specialist HQ

Shelton, CT · On-site

$85K - $100K/yr

Gather and analyze financial and insurance data for renewals of annual insurance programs; develop coverage needs, present recommendations, and prepare renewal applications. * Conduct reviews and ...

Insurance Specialist HQ

Shelton, CT · On-site

$85K - $100K/yr

Gather and analyze financial and insurance data for renewals of annual insurance programs; develop coverage needs, present recommendations, and prepare renewal applications. * Conduct reviews and ...

Competitive salary Comprehensive, low-cost health insurance plans (including GLP-1 coverage options ... Participate and lead portions of data and analytics committees and processes. Maintain the Cogito ...

Competitive salary Comprehensive, low-cost health insurance plans (including GLP-1 coverage options ... Participate and lead portions of data and analytics committees and processes. Maintain the Cogito ...

... cost health insurance plans (including GLP-1 coverage options) available day one • Wellness ... This position serves as a key contributor to Stamford Health's enterprise data and analytics ...

Showing results 21-40

Insurance Data Analytics information

See Connecticut salary details

$23

$52

$89

How much do insurance data analytics jobs pay per hour?

As of Sep 7, 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 insurance data analytics?

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 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.

What are the key skills and qualifications needed to thrive in insurance data analytics?

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.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

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:

What cities in Connecticut are hiring for Insurance Data Analytics jobs?

Cities in Connecticut with the most Insurance Data Analytics job openings:

Infographic showing various Insurance Data Analytics job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $108,326 per year, or $52.1 per hour.

Advanced Technology Quality Data Analyst (Hybrid)

Prattwhitney

East Hartford, CT • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Pratt & Whitney rating

8.7

Company rating: 8.7 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies


Job description

Job Overview

Pratt & Whitney, part of RTX, is seeking an Advanced Technology Quality Data Analyst for its Hartford, CT location. This hybrid role requires a U.S. citizen with a current DoD Secret clearance and involves up to 25% travel.

Responsibilities
  • Develop and implement strategies to connect, map, and integrate quality data across operations, quality, and engineering functions.
  • Ensure data accuracy and accessibility to support informed design and decision‑making.
  • Collaborate with cross‑functional teams to define and execute a digital connectivity strategy aligned with broader digital transformation goals.
  • Leverage data analytics tools to analyze quality data, identify trends, and provide actionable insights to improve product design and manufacturing processes.
  • Partner with engineering, quality, and operations teams to ensure quality data is effectively utilized to inform design decisions and enhance product performance.
  • Drive the development and implementation of processes and tools to continuously improve the collection, analysis, and application of quality data across the organization.
What You Will Learn
  • Leverage quality data to influence and optimize design decisions for aerospace components.
  • Contribute to digital connectivity strategies that transform quality management in aerospace manufacturing.
  • Solve complex challenges through cross‑functional collaboration.
  • Use advanced analytics tools to extract meaningful insights from complex datasets.
Qualifications - Must Have
  • Bachelor’s degree (or equivalent experience) with 10+ years in data analytics, quality, manufacturing engineering, operations, or a related field; or a Master’s degree with 7+ years of relevant experience.
  • Demonstrated experience in data analysis, data mapping, and building digital systems connectivity.
  • Experience with Solumina, SAP, Net Inspect and other quality platforms.
  • Strong understanding of quality systems and their integration with engineering and manufacturing processes.
  • Proficiency with data analysis tools and enterprise database systems.
Qualifications - Preferred
  • Knowledge or experience in aerospace manufacturing and inspection processes.
  • Proficiency with QLIK, Power BI, or similar data visualization platforms.
  • Expertise in SQL, Python, or other programming languages for data analysis and integration.
  • Experience with digital transformation projects within manufacturing or engineering environments.
  • Strong organizational and project management skills to drive cross‑functional initiatives.
Role Type & Work Arrangement

This hybrid position requires a flexible balance of onsite and offsite work, with onsite presence determined in partnership with your leader. The role is U.S.-based and the salary range is USD 132,400–251,600.

Benefits

Eligible employees may receive medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, parental leave, paid time off and holidays. Additional incentive compensation and benefits are determined by business unit and collective‑bargaining agreements.

Equal Opportunity Employer

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 Section503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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About Pratt & Whitney

Sourced by ZipRecruiter

Pratt & Whitney has a long history of leadership and innovation in the field of aviation propulsion. Our story begins in the 1920s and has flourished throughout the decades. We have continuously transformed and reinvented our businesses to offer superior products and services to our customers. In 1925, the Pratt & Whitney Aircraft Company was founded by Frederick B. Rentschler, pioneer of the air-cooled radial engine design which enabled unprecedented power-to-weight ratio. Its first engine, the R-1340 Wasp engine, transformed military and commercial aviation and is still in use today. In 1928, the Canadian division of the Pratt & Whitney Aircraft Company was established. In 1944, Pratt & Whitney began its gas turbine and jet propulsion initiative. The company constructed a wind tunnel, laboratory and engineering center to support our allies’ efforts in World War II. In 1945, wartime production included more than 300,000 Pratt & Whitney engines, touted by service members as extremely dependable – a legacy that continues today. From there, Pratt & Whitney continued to design and innovate more powerful, agile, and reliable engines becoming a leader in the aerospace industry. Today, Pratt & Whitney has more than 85,000 engines in service and more than 16,000 customers worldwide.

Industry

Engineering professional services

Company size

10,000+ Employees

Headquarters location

East Hartford, CT, US