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Associate In Insurance Data Analytics Jobs in Massachusetts

Data Analytics Engineer

Cambridge, MA ยท On-site

$126K - $151K/yr

... Data Analytics Engineer. The role involves leading junior developers and supporting data ... Omega was incorporated in 2007 in the State of California to offer high end IT Solutions ranging ...

Overview ABOUT THE POSITION Transportation Data Analytics Lead - Transportation Engineering ... participate in the VHB 401(k) plan, medical, dental, vision, life, and disability insurance ...

Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are ... What We Offer We offer competitive health insurance, retirement plans, paid time off, employee ...

Data and Analytics

Dedham, MA ยท On-site

$900/wk

As the only company in America devoted entirely to plant-based eating, we have spent over a decade ... insurance), matching retirement plan, generous and flexible paid time off, Purple Carrot box ...

Showing results 21-40

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.

What are popular job titles related to Associate In Insurance Data Analytics jobs in Massachusetts?

For Associate In Insurance Data Analytics jobs in Massachusetts, the most frequently searched job titles are:

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:

Associate Engineer, Investment Data & Analytics

Boston, MA โ€ข On-site

Harbourvest Partners (U.K.) Limited
Investment Clubs and Venture Capital Companiesย โ€ขย 201 - 500 employees

$155K - $165K/yr

Other

Medical, Retirement, PTO

Posted 16 days ago


Job description

Job Description Summary For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking. In our collegial environment thatโ€™s marked by low turnover and high energy, youโ€™ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences. We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm. HarbourVest is an equal opportunity employer.

This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.

About Investment Data and Analytics Our organizationโ€™s mission is to build technology that lets the firm systematize and scale its understanding of private markets and management of our funds. Our team works side-by-side with investors and quantitative researchers to innovate technology-driven investment processes; solve broad industry problems ranging from AI driven digitization of unstructured data to systematic monitoring of private equity portfolios. The Associate role combines handsโ€‘on engineering execution with the opportunity to build deep expertise in private markets data. Working under the guidance of senior engineers, you will develop, test, and operate the pipelines and datasets our investment and research teams rely on โ€” taking on progressively more complex ownership as your technical and domain judgment grows.

What you will do:
  • Data engineering โ€” build, test, and deploy pipelines and transformations across financial/economic datasets using modern data stacks.
  • Infrastructure/platform engineering โ€” run and monitor production data workflows, troubleshoot failures, and implement alerting, logging, and automated testing within CI/CD.
  • Data Quality โ€” develop validation and reconciliation checks, monitor pipeline health through KPIs, and own rootโ€‘cause analysis for data issues.
  • Collaboration โ€” partner with data engineering, DevOps, application, and investment teams to clarify requirements and deliver wellโ€‘documented solutions.
  • And ... Problem solving โ€” perform deep data analysis to support investment model research and identify manual processes worth automating.
What you bring:
  • Demonstrated ability in data engineering and analysis, including dataโ€‘centric testing and deployment of FinTech applications.
  • Proficiency in SQL (MSSQL or equivalent RDBMS) and Python, with experience building ETL pipelines for large datasets.
  • Experience with DBT and Azure Data Factory and Pipelines; exposure to Snowflake, MS Synapse, or Power BI a plus.
  • Strong analytical, organizational, and problemโ€‘solving skills with outstanding attention to detail, a genuine interest in financial markets, and comfort working in a scrum/agile SDLC environment.
Education Preferred

Bachelor of Science (B.S) or equivalent in Computer Science Master of Science (M.S) or equivalent in Computer Science

Experience

3-5 Years of Data Engineering or Data Operations experience preferred

Exposure to private equity or investment management data, partnering with product, application, and operations teams

Base Salary Range

$155,000.00 - $165,000.00 This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for longโ€‘term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.

HarbourVest is an independent, global private markets firm with over 43 years of experience and more than $146 billion of assets under management as of June 30, 2025. Our interwoven platform provides clients access to global primary funds, secondary transactions, direct coโ€‘investments, real assets and infrastructure, and private credit. Our strengths extend across strategies, enabled by our team of more than 1,270 employees, including more than 230 investment professionals across Asia, Europe, and the Americas. Across our private markets platform, our team has committed more than $64 billion to newlyโ€‘formed funds, completed over $66 billion in secondary purchases, and invested over $49 billion in direct operating companies. We partner strategically and plan our offerings innovatively to provide our clients with access, insight, and global opportunities.

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