1

Insurance Data Analytics Jobs in Connecticut (NOW HIRING)

Data Engineer

Hartford, CT · On-site

$115.50K - $138.70K/yr

This role requires strong experience in data analytics, AI applications, and client engagement in the insurance industry. Role & Responsibilities Overview * Project Requirement: Work with structured ...

Demonstrated success partnering with senior business stakeholders to drive data and analytics transformation efforts * Strong business acumen with a solid understanding of P&C insurance metrics ...

AVP, Data Analytics and Underwriting Job Location: 300 First Stamford Place, Floor 7, Stamford, CT ... in the (re)insurance industry. Experience must include: Performing reinsurance pricing and ...

Data Modeler

Hartford, CT · On-site

$55.25 - $71.50/hr

... and insurance industry data exchange standards. This role involves designing scalable, compliant, and high-quality data structures that support enterprise analytics, regulatory reporting, and ...

Data Modeler

Hartford, CT

$55.25 - $71.50/hr

... and insurance industry data exchange standards. This role involves designing scalable, compliant, and high-quality data structures that support enterprise analytics, regulatory reporting, and ...

next page

Showing results 1-20

Insurance Data Analytics information

See Connecticut salary details

$23

$52

$89

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.
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 are popular job titles related to Insurance Data Analytics jobs in Connecticut? For Insurance Data Analytics jobs in Connecticut, the most frequently searched job titles are:
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:
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.
Cloud Data & Analytics Strategy Senior Associate (Insurance)

Cloud Data & Analytics Strategy Senior Associate (Insurance)

Pwc

Hartford, CT • On-site

$67.75 - $90.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Insurance

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
  • Delegate to others to provide stretch opportunities, coaching them to deliver results.
  • Demonstrate critical thinking and the ability to bring order to unstructured problems.
  • Use a broad range of tools and techniques to extract insights from current industry or sector trends.
  • Review your work and that of others for quality, accuracy and relevance.
  • Know how and when to use tools available for a given situation and can explain the reasons for this choice.
  • Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
  • Use straightforward communication, in a structured way, when influencing and connecting with others.
  • Able to read situations and modify behavior to build quality relationships.
  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:
Bachelor Degree
Minimum Years of Experience:
4 year(s)
Preferred Qualifications:
Certification(s) Preferred:

Certification in one of the following cloud platforms -AWS/Azure/GCP

Preferred Knowledge/Skills:

Demonstrates thorough abilities and/or success in one or many of the following areas:

  • Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making;
  • Defining data management and data/analytics governance strategy and align data initiatives with organizational goals;
  • Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success;
  • Delivering strategy and transformation projects;
  • Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP;
  • Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform);
  • Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas);
  • Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse;
  • Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3;
  • Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark;
  • Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process;
  • Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse;
  • Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements;
  • Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (Kubernetes/Docker, etc.);
  • Understanding of insurance data, underlying KPIs and how they are used; and,
  • Demonstrating prior P&C/L&A Insurance industry experience.

Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas:

  • Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects;
  • Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures;
  • Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand;
  • Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
  • Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;
  • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
  • Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance.

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom