Senior Business Intelligence Engineer

eebd886f-daae-4f3a-8a1b-d9c9a65d9d49•Boston, MA
•$110,000 - $130,000

About The Position

Berkshire Hathaway Specialty Insurance (BHSI) is seeking an experienced Senior Business Intelligence Engineer to join its Global Business Intelligence team in Boston, Massachusetts, supporting the Small and Medium Enterprise (SME) business, including digital and direct-to-broker distribution capabilities. The role partners with business, underwriting, operations, technology, Data Engineering, and BI teammates to develop reporting and analytics for a growing, digitally enabled insurance business. The engineer will build an understanding of the SME business and translate its requirements into trusted data models, semantic models, dashboards, reports, analytics, and reusable data products. As part of the Global Business Intelligence organization, the role applies consistent BI engineering standards while meeting the specific needs of the SME business. It requires technical expertise, analytical thinking, business curiosity, attention to data quality, collaboration across business and technical teams, and the ability to independently deliver production-quality BI solutions.

Requirements

  • Bachelor’s degree in Business, Analytics, Computer Science, Information Systems, Mathematics, or a related field.
  • At least 5 years of experience in Business Intelligence, analytics, reporting, data management, or a related discipline.
  • Strong understanding of insurance reporting and analytics concepts.
  • Advanced SQL skills, including the ability to independently investigate, analyze, validate, and reconcile complex datasets.
  • Strong experience with Power BI or comparable enterprise BI and visualization platforms.
  • Experience working with dimensional models, semantic models, data warehouses, or modern analytical data platforms.
  • Ability to translate complex business questions into analytical solutions, reporting, and actionable insights.
  • Strong analytical and problem-solving skills, effective communication, and ability to build trusted relationships across business and technology teams.
  • Ability to manage multiple priorities in a fast-paced environment.

Nice To Haves

  • Experience supporting digital insurance, small commercial insurance, direct-to-broker, or other high-volume transactional businesses.
  • Familiarity with insurance lifecycle concepts, including submissions, indications, quotes, binds, policies, premium, distribution, and underwriting performance.
  • Experience developing enterprise semantic models, governed BI datasets, and reusable data products.
  • Experience with Microsoft Fabric, Azure-based analytics technologies, or modern cloud-based analytical platforms.
  • Experience with data governance, metadata management, data quality initiatives, or business data dictionaries.
  • Experience working within Agile delivery models and business-led analytical environments.

Responsibilities

  • Develop a deep understanding of SME business processes, products, distribution models, performance drivers, and information needs, and apply that knowledge to BI solution design.
  • Partner with business stakeholders and BI leaders to translate business questions and analytical needs into scalable solutions and prioritized deliverables.
  • Design, develop, test, deploy, and support Power BI reports, dashboards, semantic models, and reusable analytical data products.
  • Build and maintain reporting across the SME insurance lifecycle, including submissions, indications, quotes, binds, policies, premium, portfolio performance, distribution, and operational activity.
  • Use advanced SQL to investigate, transform, validate, reconcile, and optimize complex datasets across multiple source systems and analytical platforms.
  • Develop dimensional and semantic models that support consistent business definitions, reusable measures, governed datasets, and self-service analytics.
  • Partner with Data Engineering and Technology teams to define data requirements, improve data quality, resolve defects, and deliver scalable, reliable data pipelines and analytical solutions.
  • Monitor and improve BI solution usability, reliability, performance, and adoption while reducing fragmented or manually assembled reporting.
  • Contribute reusable patterns, standards, templates, documentation, and technical best practices to the Global BI Center of Excellence.

Benefits

  • Competitive package and exciting growth opportunities for career-oriented teammates.
  • Comprehensive health, dental, and vision benefits.
  • Short-term and long-term disability insurance.
  • Life insurance for the employee and family.
  • Accidental Death & Dismemberment insurance for the employee and family.
  • Flexible Spending Accounts.
  • Health Reimbursement Account.
  • Employee Assistance Program.
  • Retirement Savings 401(k) Plan with Company Match.
  • Generous holiday and Paid Time Off.
  • Tuition Reimbursement.
  • Paid Parental Leave.
  • Annual bonus eligibility.
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