Posted May 14, 2026
About Integrated Specialty Coverages
Integrated Specialty Coverages, LLC (ISC) is a growth stage technology and data-driven commercial MGA and insurance wholesaler leading innovation in the market. Backed by one of the leading private equity firms, Onex Partners, and led by a forward-thinking management team, ISC is combining the worlds of insurance and technology to create an Insurtech powerhouse. As a leading online distributor of insurance products for a range of industries and “Main Street USA”, we are looking for the right people to help us in our mission of achieving exponential growth. We strive to be the number one place to go for brokers and agents to source insurance. To accomplish this, we’re building a digitally focused team that deeply understands the intersection between user experience, data, and AI/ML to optimize the way we engage with our customers and partners. Job Summary
We are seeking a Senior BI Analyst who will be a key technical leader in the data science team, responsible for creating and maintaining the views, reports, and analytics. This role has high visibility that will reach all levels of the organization. This role will build portfolio visibility across policy, premium, exposure/payroll, and claims data in Power BI with our data warehouse in Snowflake. The senior analyst will design trusted semantic models, publish enterprise apps, and enable self‑service for stakeholders, aligned to our data governance standards. Insurance/policy‑management experience is a must; Workers’ Compensation is a strong plus.
Own Workers’ Compensation business intelligence: work with data engineering to integrate and model WC data in Snowflake; build certified datasets, governed semantic models, and Power BI dashboards that provide actionable insights for Workers’ Compensation. - Support WC program reporting across policy lifecycle, operational throughput (UW queues and productivity), and portfolio outcomes (frequency/severity, loss ratios). Align metric definitions with business glossary and work with business stakeholders to ensure accuracy. - Drive advanced analytics: apply data mining techniques to policy, claims, and exposure data to support predictive modeling and trend analysis. - Enable self-service analytics by coaching stakeholders and managing workspace standards. - Collaborate with senior management to align BI solutions with strategic objectives and influence data strategy decisions. - Champion data governance and metric consistency, ensuring clear definitions and compliance with enterprise standards. - Mentor and develop junior BI analysts, fostering best practices in data modeling, visualization, and governance. Minimum Qualifications
5-7 years of progressively responsible BI and data analysis experience; operates highly independently at the senior level. - Experience using AI tools to increase productivity
P& C Insurance domain experience required; Workers’ Compensation preferred
Expert-level skills in SQL, Power BI, and advanced analytics tools
Advanced programming skills in Python, R, or similar languages
Excellent stakeholder collaboration with Product/Underwriting/PMO; able to translate business needs into trusted BI assets
Proven track record of delivering high-impact business insights
Leadership and mentoring experience
Advanced degree preferred (Master's in Data Science, Statistics, or related field)
This role also offers bonus pay. Your ISC Talent Acquisition representative will share more details about the bonus component should you advance in the interview process. The starting annual pay scale for this position is listed below. Actual starting pay will be based on factors such as skills, qualifications, training, and experience. In addition, the company offers comprehensive benefits including medical, dental and vision insurance, 401(k) plan with match, paid time off, and other benefits. ISC's salary ranges are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
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