7 months ago
Base Salary
$139k - $278k/yr
Responsibilities
- Lead the design and implementation of enterprise BI architecture, including data models, dashboards, reports, and data gateways.
- Translate business requirements into scalable BI solutions using data modeling, DAX calculations, and visualization best practices.
- Provide reinsurance domain subject matter expertise for data analytics.
- Architect and oversee Power BI integrations with Azure Data Lake Storage, Databricks, and other cloud or on-premise data platforms.
- Define analytic solutions leveraging Databricks, DBT, and Power BI.
- Establish development standards, governance policies, security practices, and maintainability standards for reports and dashboards.
- Support enterprise Power BI deployment, including refresh schedules, security roles, and workspace governance.
- Identify and resolve performance bottlenecks in data pipelines and queries, optimizing data processing and data delivery latency.
- Optimize Power BI performance through data modeling, query optimization, and report design.
- Create design documentation, deployment plans, and user guides, and recommend improvements based on Power BI innovations and industry practices.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- At least 5 years of experience working within the reinsurance domain and understanding its data and reporting needs.
- At least 10 years of experience in data analytics delivering enhanced data and analytical capabilities.
- Proven expertise designing and implementing enterprise Power BI solutions, including data modeling, DAX, Power Query, and visualization best practices.
- Strong knowledge of Azure Data Lake, Azure Synapse Analytics, Databricks, DBT, and Power BI integration.
- Familiarity with enterprise reporting data governance, security, and compliance standards.
- Excellent problem-solving skills for troubleshooting complex data issues.
- Strong communication and cross-functional collaboration skills.
- Preferred experience with Power BI Service, Power BI Embedded, Power BI REST APIs, AI-enabled ad hoc and self-service BI, and Python, R, or other scripting languages.
- Understanding of information security, data privacy, and cloud security best practices.
Benefits
- Professional development opportunities, interesting work, and supportive leadership.
- Inclusive and flexible work environment with opportunities to collaborate with talented colleagues.
- Hybrid work arrangement with colleagues expected to work in the local office or onsite with clients at least three days per week; office-based teams designate at least one weekly anchor day.
- Health and welfare benefits, tuition assistance, 401K savings and other retirement programs, employee assistance programs, and performance-based incentives eligibility.
Tech Stack
Categories
Data Engineering
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.