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Associate In Insurance Data Analytics Jobs in Massachusetts

Repligen

$93K - $116K/yr

We're united by a mission to inspire advances in bioprocessing as a preferred partner in the ... Join us!As a Data & Analytics Specialist, you will support the development, execution, and ...

Mitre

Health Data Analytics Engineer

Bedford, MA · On-site

$120K - $144K/yr

The ideal candidate has a deep passion for software and technology and prior experience in data science and predictive health analytics. If you love: * Watching the analytics tools you build go from ...

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Associate In Insurance Data Analytics information

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 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 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.

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Associate In Insurance Data Analytics jobs near you

Data & Analytics Lead Architech

Pittsfield, MA • On-site

Berkshire Health Systems
See more jobs at Berkshire Health Systemsexternal

$39.69/hr

Full-time

Re-posted 7 days ago

Berkshire Health Systems rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

  • JOB SUMMARY
    • The Data & Analytics Architect is responsible for defining and managing the enterprise data architecture that enables scalable analytics, reporting, and AI across the organization. This role ensures our data ecosystem is integrated, governed, and aligned to business priorities, while supporting a federated (hub-and-spoke) operating model.
      This person partners closely with IT, clinical, operational, and finance leaders to translate business needs into a modern, sustainable data platform.
  • JOB REQUIREMENTS
    • Experience:
        • Proven experience as a Data Architect or similar role with extensive knowledge of *NoSQL*, *SQL*, *Hadoop*, *Spark*, *Oracle*, *Microsoft SQL Server*, and *Microsoft Fabric Data Lake
        • Experience in healthcare strongly preferred (EHR, claims, revenue cycle, etc.).
        • Strong expertise in *data modeling*, *database design*, *ETL processes*, and *data warehouse* architecture.
        • Direct experience working with cloud platforms such as *AWS* and *Azure* for deploying scalable data solutions.
        • Experience working within Agile development environments with a focus on analytics projects involving large datasets (*Big Data*) and distributed computing frameworks like *Hadoop*.
    • Education:
        • Bachelor's degree in computer science, data science, engineering, or related field.
    • Licensure & Certifications:
        • None.
  • SKILLS & ABILITIES
      • Familiarity with programming languages including *Java*, *Python*, and scripting with *Bash (Unix shell)*
      • Knowledge of linked data concepts and experience integrating diverse datasets for advanced analytics applications is a plus.
      • This position offers an engaging environment where innovative thinking is valued, and the successful candidate will play a pivotal role in shaping our organization's data strategy through advanced architecture solutions.
      • Familiarity with governance frameworks and federated data models.
      • Ability to translate business strategy into technical architecture.
      • Ability to guide solution design and architecture to meet business needs.
      • Strong stakeholder engagement (can work across clinical, operational, and IT teams).
      • Systems thinker-can connect data, workflows, and outcomes.
      • Pragmatic decision-maker (not over-engineering solutions).
  • WORKING RELATIONSHIPS
    • Title of position(s) supervised:
      • N/A.

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