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Associate In Insurance Data Analytics Jobs in Massachusetts

s may display in multiple languagesbased on your language selection. What we offer: At Magna, you ... We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data ...

... sound data quality. * Participate in technology/automation initiatives to drive streamlined ... Spouse and Child Life Insurance TIME OFF, DISABILITY AND LEAVE OF ABSENCE * Paid Vacation, Sick ...

Manager Data Analytics & Engineering

Lowell, MA · On-site

$105.78K - $196.44K/yr

s may display in multiple languages based on your language selection. What we offer: At Magna, you ... We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data ...

... insurance claims such as Medicare, in HEOR studies of health care resource use, spending, and ... Substantive experience manipulating and analyzing real-world data (especially claims data) * Strong ...

Data & Analytics Project Manager

Boston, MA · On-site +1

$56.25 - $76/hr

In this role, you will work closely with Data Engineers, Project Directors, and project teams to ... Access to voluntary dental and vision insurance plans * A 401K plan with up to a 4% employer match

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Associate In Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as an Associate in Insurance Data Analytics, and why are they important?

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 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 are 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 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.

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What job categories do people searching Associate In Insurance Data Analytics jobs in Massachusetts look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Massachusetts are:
What cities in Massachusetts are hiring for Associate In Insurance Data Analytics jobs? Cities in Massachusetts with the most Associate In Insurance Data Analytics job openings:
Data Analytics & Management, AVP

Data Analytics & Management, AVP

State Street Corporation

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

About the job
The Finance Data and AI Office (DART) delivers trusted data, analytics, and AI enabled solutions across Finance, Risk, and Treasury. This role sits within the Automation, Analytics & AI pillar and focuses on building practical, scalable AI solutions that address real finance challenges end to end-from problem framing and solution design through deployment and adoption. This position provides an excellent opportunity to interact with different business areas across State Street.
Who we are looking for
The ideal candidate combines strong analytical thinking with business curiosity and judgment and can thoughtfully apply the right mix of AI capabilities, agentic approaches, and low-code/no-code tools to design integrated, optimized solutions. Success in this role requires the ability to connect technology choices to tangible Finance outcomes-improving insight quality, controls, efficiency, and decision-making.
What you will be responsible for:
Build Agentic AI & Copilot Solutions for Finance
  • Design and deliver agent-based workflows that can plan, reason, and execute tasks across finance processes (with appropriate human oversight and controls).
  • Implement solutions that use LLM copilots for finance narratives, variance explanations, exception triage, and root-cause analysis
  • Combine AI reasoning with deterministic logic (rules, thresholds, accounting constraints, materiality) to ensure reliability in controlled environments

Prompt Engineering & Context Design (Finance-Grade)
  • Create and refine prompts grounded in finance context (e.g., P&L, cost centers, accounting rules, materiality thresholds) and structure outputs for decision-making
  • Build reusable prompt patterns, evaluation approaches, and guardrails to reduce hallucinations and increase consistency

Apply Data Science Where It Matters
  • Use analytics and data science methods (e.g., anomaly detection, classification, forecasting support, explainability) to strengthen finance insight and controls
  • Analyze large, complex datasets to identify breaks, drivers, trends, and actionable signals relevant to Finance operations and reporting

Enable AI Using No-Code / Low-Code Platforms
  • Use no-code and low-code tools (e.g., Alteryx, Power BI, Power Platform or similar) to:
  • Operationalize AI outputs into finance workflows
  • Orchestrate AI-driven steps alongside rules-based logic
  • Surface AI-generated insights, exceptions, and narratives to end users
  • Know when low-code is sufficient and when custom logic or data science is required

Embed Solutions into Finance Workflows
  • Partner with Finance, Risk, and Treasury teams to understand processes end-to-end and design solutions that fit how work actually gets done
  • Support rollout and adoption through documentation, training, and iteration based on user feedback

Responsible AI & Controls-Aware Delivery
  • Ensure solutions are explainable, auditable, and aligned with governance expectations
  • Validate AI outputs against financial data and business logic; design monitoring to maintain quality over time

Skills and experience needed:
  • Bachelor's degree in AI, Data Analytics, Computer Science, Engineering, or a related field
  • 5-7 years of experience in emerging AI technologies, data science, analytics, automation (financial services preferred)
  • Strong analytical and problem-solving skills
  • Experience working with large, complex datasets
  • Proficiency in SQL and Python
  • Knowledge of data warehousing, data modelling, ETL design
  • Experience with data visualization tools (e.g., Power BI, Tableau, or similar)
  • Exposure to automation tools (e.g., low-code platforms, RPA, workflow tools)
  • Understanding of Finance, Risk and/or Treasury business processes
  • Strong written and verbal communication skills

Knowledge of the below tools is preferrable:
  • Microsoft Co-pilot Studio
  • Microsoft 365 Co-pilot
  • Databricks
  • Anthropic/Claude
  • Power BI/Tableau
  • Alteryx
  • Microsoft Fabric
  • Microsoft Power App
  • Microsoft Power Automate

Are you the right candidate? Yes!
We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don't necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.
About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Discover more at StateStreet.com/careers
Salary Range:
$90,000 - $157,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

State Street logo

About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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