L
Not Specified Permanent

Seattle, Washington · USA job

Consultant, Personal Lines Property & Specialty Product

Liberty Mutual

Seattle, Washington

Job description

Overview

In this role, you will drive high-impact analyses to gauge performance across states or product lines and guide strategic decisions. You will lead country-wide initiatives and manage multiple projects, delivering actionable insights to product managers. You'll build advanced analytics tools and serve as the go-to expert for complex state and country-wide programs. This position suits a data-minded professional who shapes offerings and optimizes processes in a growth-focused insurer.

Compensation / Benefits
  • comprehensive benefits
  • workplace flexibility
  • professional development opportunities
  • inclusive culture and employee resource groups
  • competitive salary range
  • annual leave accrual
Responsibilities
  • Perform high-complexity analyses to identify trends and issues and make actionable improvement recommendations.
  • Lead or influence country-wide initiatives and support strategic direction for states or product lines.
  • Manage projects of low to moderate complexity and present findings to Product managers.
  • Conduct ad hoc data queries and build advanced tools for others to use.
  • Serve as point person for high-complexity country-wide implementations and lead own workstream on projects.
  • Research competitor filings and market actions to inform product changes and strategic decision-making.
Key requirements
  • Bachelor's degree in business, information management, economics, or other quantitative field; Master's degree preferred
  • 4+ years of relevant experience (typically 6+)
  • Knowledgeable in data query languages and tools; proficient with new technologies; possible data modeling skills
  • Strong communication and presentation skills
  • Deep knowledge of data concepts, architectures, and business operations
  • Negotiation, facilitation, and consensus-building abilities
  • strong communication
  • presentation skills
  • negotiation and consensus-building
  • data querying languages
  • data modeling
  • data architectures and designs

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