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

Sr Business Data Analyst

Hartford, CT ยท On-site

$100K - $150K/yr

Sr Consult Bus Data Analysis - GA07AE 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 ...

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Associate Bus Data Analysis

Hartford, CT ยท 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 ...

Data Analytics & Reporting - Risk & Rating Elements * Perform comprehensive data analytics on ... Bachelor's degree in business, risk management, insurance, or related field. * 5+ years of ...

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Insurance Data Analytics information

See Manchester, CT salary details

$24

$55

$95

How much do insurance data analytics jobs pay per hour?

As of Jul 17, 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?

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 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.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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:
Business Data Analyst

Business Data Analyst

Software Guidance & Assistance

Hartford, CT โ€ข On-site

Other

Re-posted 20 days ago


Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Junior Business Data Analyst for a CONTRACT assignment with one of our premier Insurance clients, working a hybrid schedule in Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC
Our Clients Enterprise Data Office is currently looking for a Business Data Analyst to join the Corporate Data Services team. This role will be focused on providing business and data analysis support for several highly visible, business-critical applications.
This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).
In this role, you will be responsible for the following:
Applies functional knowledge and techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders. Performs requirements planning, monitoring and requirements management.
Independently performs data analysis, data discovery and data profiling using industry standard querying tools to support business requirements development that are complete, clear, unambiguous, well written and appropriate to audience.
Maintains Data mapping documents, and other Data Design artifacts that define business data requirements and transformation rules.
Act as liaison and advisor/consultant between the business and IT stakeholders.
Performs and aids functional testing
Structure and drive working and informational sessions that promote collaboration, synergy, and achieve desired outcomes.
Understands the scope of the project and helps resolve scope questions and issues related to own work.
Handles moderate level root cause analysis of business data issues and provides technical data guidance on issues
Helps resolve scope questions and issue
Leverage AI tools and techniques to streamline daily tasks such as data profiling, anomaly detection, and report generation within the data warehousing lifecycle.
Design and refine AI prompts to extract insights, automate documentation, and support decision-making across business and technical teams.
Translate business processes into AI requirements, ensuring that models and tools align with operational goals and stakeholder expectations.
Collaborate with data engineers and stakeholders to identify opportunities for AI-driven enhancements in ETL workflows, metadata management, and data quality monitoring.
Qualifications:
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Bachelors degree and 3+ years of experience in business requirements and/or data analysis supporting the Insurance industry.
Proficient in industry standard querying tools (Snowflake, Toad, Toad for Data Analysts, SQL, SAS, R, Python, Hive, etc)
Experience designing and refining AI Prompts while translating business processes into AI requirements.
Experience working on data warehouse or reporting/analytic projects
Experience in industry standard querying tool
Experience working on Agile projects
Strong facilitation, requirements elicitation and data analysis skills
Connected with industry best practices
Proven ability to organize and manage multiple priorities in a timeline driven environment.
Presentation Skills
Focused on continuous improvements
Interpersonal and influencing skills
Effectively manages key stakeholders in a matrix environment
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.