Data And Analytics Engineering Lead, Reinsurance

Marsh

Base: $139,000 to $277,900; bonus/equity: performa...
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Enterprise power bi solution design
Azure data lake and databricks integration
Dax calculations and data modeling
** Marsh is seeking a Data and Analytics Engineering Lead for their Reinsurance Data and Analytics team, responsible for designing and implementing enterprise-scale analytics solutions. The ideal candidate should have extensive experience in data analytics, particularly within the reinsurance domain, and proficiency in Power BI and cloud data platforms. **

Job Summary

  • You will lead the design and implementation of enterprise BI architecture to enable data-driven decision-making across the organization.
  • The role requires extensive experience in the reinsurance domain to provide subject matter expertise for data analytics solutions.
  • Marsh offers a competitive total rewards package including health benefits, tuition assistance, and 401K savings alongside hybrid work flexibility.

Matching Summary

Match Score: 75

** Marsh is seeking a Data and Analytics Engineering Lead for their Reinsurance Data and Analytics team, responsible for designing and implementing enterprise-scale analytics solutions. The ideal candidate should have extensive experience in data analytics, particularly within the reinsurance domain, and proficiency in Power BI and cloud data platforms. **

Salary

Base: $139,000 to $277,900; Bonus/Equity: Performance-based incentives eligible; Benefits: Health, welfare, tuition assistance, 401K, EAP

Skills & Requirements

Must-have

  • Enterprise Power BI solution design
  • Azure Data Lake and Databricks integration
  • DAX calculations and data modeling
  • Reinsurance domain expertise required
  • Data governance and security standards

Nice-to-have

  • AI-enabled self-serve BI capabilities
  • Python or R scripting proficiency
  • Power BI REST API knowledge
  • Cloud security best practices understanding
  • Strong cross-functional collaboration skills

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 5+ years of experience in the reinsurance domain
  • 10+ years of experience in data analytics
  • Proven expertise in enterprise Power BI solutions
  • Strong knowledge of Azure Synapse Analytics and DBT

Work Rights

Not specified

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