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Associate In Insurance Data Analytics Jobs in Connecticut

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client ... Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field * 5+ ...

Chubb

Head of Data Engineering, PRS

Simsbury, CT · On-site

$224K - $314K/yr

... analytics strategies for solving business problems. You'll leverage your Mainframe and Data ... Demonstrated experience in the P&C Insurance industry, specifically focused on Legacy Technology ...

Gartner

Data Analyst

Stamford, CT · On-site +1

... associate performance analytics, budget and financial analysis (in partnership with the finance organization), and client demand sensing. We power fact-based decision making by providing data ...

Group1001

Quantitative Analysis Intern

Stamford, CT · On-site

Analyze historical data and provide recommendations to enhance forecast processes * Conduct ... Knowledge/ experience in insurance industry preferred * Proficient in Microsoft Excel and working ...

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Associate In Insurance Data Analytics information

What are some common challenges faced by an associate in insurance data analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

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

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What is an associate in insurance data analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Connecticut? For Associate In Insurance Data Analytics jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Connecticut look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Connecticut are:
What cities in Connecticut are hiring for Associate In Insurance Data Analytics jobs? Cities in Connecticut with the most Associate In Insurance Data Analytics job openings:
Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Connecticut as of June 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution.

Data Analytics Engineer (AI)

3B Staffing LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Posted 18 days ago

Job description

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment, MLOps (CI/CD, monitoring, governance), cloud (Azure/AWS/GCP), API integration, and scalable data engineering (Financial Services preferred). AI Configuration & Optimization
  • Configure, fine-tune, and optimize Large Language Models (LLMs) and advanced ML models
  • Develop and manage prompt engineering frameworks, embeddings, and vector databases
  • Translate business requirements into AI-powered workflows and intelligent automation solutions
AI Implementation & Delivery
  • Deploy production-ready ML/AI models and data pipelines
  • Integrate AI capabilities into enterprise applications, APIs, and analytics platforms
  • Build scalable, end-to-end AI and data solutions aligned with business goals
  • Ensure solutions deliver measurable performance and operational impact AI Infrastructure & MLOps
  • Design and maintain MLOps frameworks including CI/CD pipelines
  • Implement model monitoring, versioning, governance, and performance optimization
  • Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads
  • Enhance reliability, security, and compliance of AI systems
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles
  • Hands-on experience with LLMs, prompt engineering, embeddings, and vector databases
  • Strong programming skills in Python (preferred)
  • Experience deploying ML/AI models into production environments
  • Solid understanding of cloud platforms (Azure, AWS, or GCP)
  • Experience building CI/CD pipelines for AI/ML systems
Preferred
  • Experience in Financial Services domain
  • Familiarity with API development and microservices architecture
  • Experience with model governance, compliance, and AI risk frameworks
  • Knowledge of scalable distributed data systems

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