Data and Analytics Engineering Lead, Reinsurance
Marsh & McLennan Companies7 months ago
Norwalk, CT, USA or New York, NY, USAStaff+
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.
- Architect and oversee Power BI integrations with Azure Data Lake Storage, Databricks, DBT, and other data platforms.
- Define analytics solutions and enforce development standards, governance policies, security controls, and maintainability practices.
- Manage Power BI data refresh schedules, security roles, workspace governance, and enterprise deployments.
- Identify and resolve performance bottlenecks in data pipelines and queries, optimizing data processing, latency, data models, and report design.
- Produce design documentation, deployment plans, and user guides, and recommend improvements based on Power BI innovations and industry practices.
- Provide reinsurance-domain expertise and collaborate with data engineers, analysts, and technical and non-technical stakeholders.
Requirements
- Bachelor’s or master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 5+ years of experience working within the reinsurance domain and understanding its data and reporting needs.
- 10+ years of experience in data analytics and 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 data governance, security, compliance, information security, data privacy, and cloud security practices.
- Excellent problem-solving, troubleshooting, communication, and cross-functional collaboration skills.
- Preferred proficiency with DAX, Power BI Service, Power BI Embedded, and Power BI REST APIs.
- Preferred knowledge of Python, R, or other scripting languages and experience leveraging AI for ad hoc and self-service BI capabilities.
Benefits
- Professional development opportunities, interesting work, supportive leaders, and an inclusive and flexible work environment.
- Hybrid work with colleagues expected to be in their 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, 401(k) savings and retirement programs, employee assistance programs, and performance-based incentives.
Tech Stack
Categories
Data Engineering
About Marsh & McLennan Companies
Marsh McLennan is a global professional services firm providing risk, insurance and reinsurance brokerage, health, wealth, and management consulting to corporations, governments, and nonprofits. It operates through Marsh, Guy Carpenter, Mercer, and Oliver Wyman, earning fees and commissions for advisory, analytics, and placement services. Founded in 1905 and headquartered in New York, it is publicly traded on the NYSE under the ticker MMC.