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Senior Insurance Data Analytics Jobs in Massachusetts

Mitre

Senior Software Developer, Data Analytics

Bedford, MA

$57.25 - $75.75/hr

Join the MITRE Data Analytics team where you will provide software development, algorithm development, and data analytics (to include big data analytics, data mining, and data science) to enable data ...

MANTECH

Senior Data Scientist

Springfield, MA

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject ...

MANTECH

Senior Data Scientist

Springfield, MA · On-site

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject ...

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Senior Insurance Data Analytics information

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are the most commonly searched types of Insurance Data Analytics jobs in Massachusetts?

The most popular types of Insurance Data Analytics jobs in Massachusetts are:

What cities in Massachusetts are hiring for Senior Insurance Data Analytics jobs?

Cities in Massachusetts with the most Senior Insurance Data Analytics job openings:

Senior Insurance Data Analytics jobs near you

Medical Analytics Impact & Outcomes Senior Data Analyst

Scorpion Therapeutics

Cambridge, MA • On-site

$150 - $210/hr

Other

Posted 7 days ago

Job description

Role Summary

Develop, maintain, and monitor activity-specific KPIs to evaluate key Medical Affairs activities, measure impact, and provide data-driven transparency on resource allocation.

Role Responsibilities
  • Support KPI and analysis definition: collaborate to compute KPIs; assist with analysis planning and insights communication; lead cross-functional Impact & Outcome projects; mentor Data Analysts; manage outsource vendors for data analytics execution.
  • Planning and conduct analytics: develop and calculate Medical Affairs metrics; analyze KPIs for trends/insights; extract insights from external stakeholder feedback to guide strategy; streamline KPI measurement/reporting/data management; assess feasibility, identify data sources, and process data for new/improved KPIs; build cascaded performance metrics linking individual/Category/Affiliate performance to Medical goals; monitor metrics and identify underperformance; advise on KPI usage/communication to drive behavior change; source/pull data to populate dashboards; maintain tools/models per best practices.
  • Data management: gather/prepare/maintain analytic datasets; oversee data systems with data management lead to ensure proper collection/storage/processing; support efficient, timely reporting and roadblocks.
  • Stakeholder collaboration: work with UI experts on dashboard visualization; collect user feedback; resolve technical/data issues.
Basic Qualifications
  • Advanced degree in life sciences, data analytics, or similar.
  • 8+ years (BS), 7+ years (MS), or 5+ years (PhD) in data analytics and dashboard/reporting.
  • Cross-functional leadership; people/project leadership (direct or matrixed); strong interpersonal skills; cross-cultural partnering; effective talent management; strong English communication; in-depth pharmaceutical medicine knowledge (clinical trial design, GCP, data interpretation, regulatory/promotional rules, legal/compliance, issue management).
Preferred Qualifications
  • MBA or related degree.
Travel

Up to 40%.

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