M

Marsh

Global insurance brokerage and risk advisory

Data and Analytics Engineering Lead - Reinsurance

Business IntelligenceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field is required.
  • At least 5 years of experience working within the reinsurance domain and understanding its data and reporting needs is required.
  • At least 10 years of experience in data analytics, including extensive experience delivering enhanced data and analytical capabilities, is required.
  • Proven expertise in designing and implementing enterprise Power BI solutions, including data modeling, DAX, Power Query, and visualization best practices, is required.
  • Strong knowledge of cloud data platforms such as Azure Data Lake, Azure Synapse Analytics, Databricks, and DBT, and their integration with Power BI, is required.
  • Familiarity with data governance, security, and compliance standards related to enterprise reporting is required.
  • The ability to troubleshoot complex data issues is required.
  • The ability to collaborate effectively with cross-functional teams is required.

Responsibilities

  • Lead the design and implementation of enterprise BI architecture, including data models, dashboards, reports, and data gateways, ensuring optimal performance, usability, and security.
  • Collaborate with data engineers, analysts, and stakeholders to translate business requirements into scalable BI solutions, including data modeling, DAX calculations, and visualization best practices, and ensure adherence to data governance and compliance standards in data modeling and architecture.
  • Provide subject matter expertise in the reinsurance domain for data analytics.
  • Architect and oversee the integration of Power BI with data sources, including Azure Data Lake Storage, Databricks, and other cloud or on-premise data platforms.
  • Define analytic solutions leveraging Databricks, DBT, and Power BI.
  • Develop and enforce development standards, governance policies, and best practices to ensure consistency, security, and maintainability across reports and dashboards.
  • Support the deployment of Power BI in enterprise environments, including managing data refresh schedules, security roles, and workspace governance.
  • Identify and address performance bottlenecks in data pipelines and queries, and implement strategies to optimize data processing and reduce latency in data delivery.
  • Optimize Power BI performance through best practices in data modeling, query optimization, and report design.
  • Produce comprehensive design documentation, deployment plans, and user guides.
  • Stay current with Power BI innovations and industry best practices, and recommend improvements to enhance reporting capabilities.

Desired Qualifications

  • Proficiency in DAX, Power BI Service, Power BI Embedded, and Power BI REST APIs.
  • Experience leveraging AI to enable ad hoc and self-service BI capabilities.
  • Knowledge of Python, R, or other scripting languages to enhance Power BI capabilities.
  • Understanding of information security, data privacy, and cloud security best practices.
  • Ability to collaborate with technical and non-technical stakeholders.

About the Company

Marsh

Global insurance brokerage and risk advisory

Marsh helps organizations manage risk and obtain insurance by acting as a risk adviser and broker, placing coverage with multiple underwriters rather than from a single source. It has grown into a diversified professional services firm that includes Mercer, Guy Carpenter, and Oliver Wyman, all under one holding company. Unlike traditional brokers, Marsh combines risk transfer with advisory and consulting services across insurance, reinsurance, HR, and management consulting. Its goal is to lower clients’ financial risk and total cost of risk by offering integrated risk management and advisory solutions.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1871

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