ZipRecruiter

Log In

1

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

Harvey Nash USA

Data & Analytics Architect

Hartford, CT · On-site

$170K - $180K/yr

Data & Analytics Architect Job Title: Data & Analytics Architect Location: Short Hills, NJ ... P&C insurance would be nice to have but this is technical role - but def preferred Tech: * Cloud ...

The Hartford

Business Data Analyst

Hartford, CT · Hybrid

$80K - $120K/yr

... and analytics projects. * Deep Insurance Domain fluency, translate regulatory, actuarial and product needs into data logic. * Use GenAI for mapping, profiling, BRD acceleration and Validate AI ...

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.

next page

Showing results 1-20

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

Data & Analytics Architect

Harvey Nash USA

Hartford, CT • On-site

$170K - $180K/yr

Other

Medical, Dental, Life, Retirement, PTO

Posted 3 days ago

Job description

Data & Analytics Architect

Job Title: Data & Analytics Architect Location: Short Hills, NJ / Hartford CT / Charlotte, NC (Hybrid working - 3 days a week)

Perm/FTE Role US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time

Job Summary:

  • Aligning to different products they have, commercial and personal lines underwriting, claims, etc. products
  • Trying to align the data teams to those products
  • Dedicated data architects to those teams (to some extent)
  • P&C insurance would be nice to have but this is technical role - but def preferred

Tech:

  • Cloud architecture - Azure/Databricks - main needs
  • Power BI understanding
  • Understanding of data modeling
  • Fairly hands on - should be able to write code
  • Data engineering skills - PySpark understanding
  • Manager level role but more of an IC type position from a technical perspective

Job Description:

  • The Data and Analytics Architect is responsible for the overall design of the data, platforms, and applications (batch/real time, cloud/hybrid) within our Information Management area (including Business Intelligence & Advanced Analytics).
  • This will include the definition of standards, best practices, policies and procedures, integration patterns, data models, high level data flows and data services.
  • This Architect will work in collaboration with IT Application Development teams, Enterprise Architecture, and business partners to establish data and analytics architecture patterns, evaluate new tools and technologies, provide recommendations, support POCs, and assist with implementation/adoption as appropriate.

Responsibilities:

  • Works with Delivery Managers to balance rapid delivery of business solutions with sound technical solutions and on development team member competencies, skills, and overall productivity.
  • Collaborate with Delivery teams to define, select, and implement data, analytics, and information solutions that consider business objectives and meet non-functional requirements.
  • Assist the Enterprise Architect in the planning process for new business initiatives through buy/build recommendations, vendor solutions evaluations, assessing designs against company standards, evaluating technical risk and define and align technology and roadmaps with business strategies.
  • Monitor trends and evaluates emerging technologies that are candidates for the future state data and analytics architecture or evolving business strategy and supports vendor analysis and proofs-of-concept to validate new technologies, solutions, and designs as needed.
  • Provide mentorship and guidance to Junior Architects and Developers in data and analytics technologies, best practices, innovation, designs, and processes.

Qualifications:

  • Bachelor's Degree in Computer Science, or other related field, or equivalent work experience.
  • 7 to 10 years of experience in Data and Analytics Architecture
  • P&C Insurance industry experience preferred.
  • Understanding of Data Design methodologies and their application in complex multi-tier systems.
  • Knowledge of Real Time, Service Oriented Architecture (SOA) and Web Oriented Architecture (WOA)
  • Strong understanding of Data warehouses, Data Marts and Data Lake.
  • Ability to develop and architect solutions based on non-functional requirements.
  • Experience with Power BI, Azure ML, Azure Databricks, IICS and/or Informatica PowerCenter is preferred.
  • Experience architecting and data modeling in Azure ecosystem is preferred.
  • Superior technical knowledge in Data Quality, Standards, Governance, and Design
  • Ability to effectively work well with people in other departments and/or outside of the enterprise.
  • Strong verbal, written, and interpersonal communication and the ability to communicate with audiences at varying technical levels.

A reasonable, good faith estimate of the minimum and maximum base salary for this position is $170 K to $180 K per year with Bonus. Employee benefits will also be available, and details are available like Pension/401K/ Paid Vacation/ Life, Medical & Dental insurance etc. * The pay range listed above reflects the expected starting salary /Pay rate for this role. This range may be adjusted based on market conditions, location, and other relevant factors. The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws

Apply