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Associate In Insurance Data Analytics Jobs in Massachusetts

From students to professionals, from in-branch to online, from new beginnings to lifetime ... Medical, dental, and vision health insurance coverage starting on day one * Retirement plans with ...

Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together ... Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life ...

We implement innovative technology solutions spanning core, digital, data, analytics, cloud and AI ... Associate in Claims (AIC), Chartered Property Casualty Underwriter (CPCU), or Associate in Risk ...

Data Analytics Project Manager

Boston, MA · On-site

$56.25 - $76/hr

Data Analytics Project Manager Onsite 3-4 days per week/WFH 1-2 days per week Company Summary ... As a national leader in the construction industry, we are redefining what it means to build. We ...

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 ...

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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.

How much does a data analyst make at World insurance Associates?

A data analyst at World Insurance Associates typically earns between $55,000 and $75,000 annually, depending on experience and location. The role often requires proficiency in data analysis tools like Excel, SQL, or Tableau and may involve working with insurance data to support business decisions.

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.

Is AI replacing data analysts?

For an Associate in Insurance Data Analytics, AI tools are increasingly used to automate routine data processing and analysis tasks, enhancing efficiency. However, AI does not replace the need for skilled analysts who interpret insights, make strategic decisions, and ensure data quality, making human expertise essential in the role.

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 can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they interpret data, create reports, and support decision-making processes. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and analytics techniques.

What does a data analyst do at an insurance company?

A data analyst in an insurance company collects, processes, and analyzes data related to policies, claims, and customer behavior to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection processes.
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Data Analytics Manager

Data Analytics Manager

Harvard University

Cambridge, MA • On-site

$56/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 539 rated colleges and universities


Job description

Company Description
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join Harvard University Central Administration?
Harvard University's Central Administration (CADM) is a 5,000+ employee organization that supports the university's overall excellence by understanding and serving the needs of its schools, students, faculty, staff, alumni, and surrounding communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals.
At Harvard FCU, we believe a brighter world is possible, and that together, we can all help create it. That's why, since 1939, we've helped our members build a strong financial future so they can make an impact in life, wherever it may lead. From students to professionals, from in-branch to online, from new beginnings to lifetime milestones, from Harvard Square to around the world, we deliver the accessible financial tools and resources everyone, everywhere needs to thrive. By coming together to serve, equip, and empower people to make a positive impact in their lives and communities, we're helping build a more prosperous world for all. Join us!
Harvard FCU: https://harvardfcu.org/
Job Description
Job-Specific Responsibilities:
The Data Analytics Manager leads our data and analytics function, helping the organization make smarter, faster, and more impactful decisions. The Data Analytics Manager oversees a team of analysts and partners across the credit union to unlock the value of our data, drive growth, improve member experience, and enable innovation. This role also leads to the evolution of our data warehouse, reporting tools, and analytics capabilities to ensure data is accessible, trusted, and actionable.
Data Strategy & Leadership
  • Champion a culture of data-informed decision-making across the organization
  • Partner with senior leaders and business units to identify and prioritize high-impact opportunities
  • Lead, coach, and develop a high-performing analytics team
  • Own key analytics platforms and vendor relationships
  • Bridge business and technical teams to ensure the right questions are asked and answered with confidence

Data Analysis & Business Intelligence
  • Lead development of intuitive dashboards and reporting (e.g., Tableau)
  • Translate business needs into meaningful metrics, KPIs, and insights
  • Deliver actionable analysis across member growth, lending, deposits, and digital engagement
  • Empower teams through self-service analytics and data accessibility

Data Governance & Quality
  • Establish practical, scalable data governance standards
  • Ensure data integrity through quality controls and monitoring
  • Define and maintain data definitions, lineage, and documentation
  • Support compliance with regulatory, privacy, and security requirements

Data Warehouse & Architecture
  • Lead design and optimization of the enterprise data warehouse
  • Oversee data pipelines and integrations across core, digital, lending, and third-party systems
  • Ensure performance, scalability, and reliability of the data environment
  • Stay current on modern data platforms and architectures (e.g., Snowflake)

Other duties as assigned.
Qualifications
Basic Qualifications:
Basic Qualifications are the minimum threshold a candidate must meet in order to be considered for this role.
  • Minimum of two years' post-secondary education or relevant work experience
  • Supervisory experience

Additional Qualifications and Skills:
The following qualifications are strongly preferred. If you meet some, but not all, we still encourage you to apply. Harvard FCU values employees with a willingness to learn.
  • Bachelor's degree or equivalent experience required; Masters degree preferred
  • Strong SQL expertise
  • Experience working with structured and unstructured data environments
  • Proficiency with BI tools (e.g., Tableau, Power BI)
  • Background in quantitative analysis and statistical modeling
  • Understanding of data infrastructure and ELT/ETL frameworks
  • Strong analytical and problem-solving skills
  • Ability to translate complex data into clear, actionable insights
  • Excellent communication and presentation skills
  • Ability to work independently and collaboratively
  • Strong organization and attention to detail
  • Proven leadership and team development experience preferred

Additional Information
Working Conditions: Onsite work is performed in an office setting
Standard Hours/Schedule: 35 hours per week.
3 days a month onsite with 1-week WFH. Additional onsite days will be required based on business needs.
Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
Pre-Employment Screening: Credit,Criminal, Education, Identity, Prohibited Parties (OFAC - Office of Foreign Assets Control).
Other Information:
This position has a 90-day orientation and review period.
#LI-BT1
Work Format Details
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University's Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and Ranges
This position is salary grade level 056. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks

Learn more about these and additional benefits on our Benefits & Wellbeing Page.
EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.