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Property& Casualty Pricing Insights Advisor

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: The Liberty Mutual Foundation
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 110300 - 140800 USD Yearly USD 110300.00 140800.00 YEAR
Job Description & How to Apply Below
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Job Description #### Job Category Product Management#### Typical Starting Salary $110,300- $140,800#### Minimum Salary $94,000.00#### Maximum Salary$#### Schedule Full-Time#### Flexible Time Off Annual Accrual - days
20#### Final date to receive applications7-24-26#### Travel
10%
- ** Description
* * At Liberty, our Personal Lines Property & Specialty Product team partners across the company to design and launch home and specialty insurance solutions - from homeowners (property) and condos to renters and other niche lines (specialty) - that meet evolving customer and agent needs. We focus on preparing and executing program rollouts, delivering on our growth roadmap, and modernizing pricing and the technology that supports the work we do.

Organized into five functions - State Management, Development, Delivery, Underwriting Effectiveness, and Specialty - we collaborate closely to meet our goals and help customers feel secure today and confident about tomorrow.

We are looking for a motivated, analytically driven professional to join the US Property & Specialty Delivery Monitoring team as a Property& Casualty Pricing Insights Advisor. In this role, you will have a direct opportunity to influence and shape our newest homeowners pricing programs through rigorous evaluation of program performance, clear articulation of risk, and actionable recommendations backed by data and sound business judgment.

This is a high-visibility, fast paced role with regular exposure to senior and executive leadership.
** You Will Be Responsible For**- Monitoring the implementation and performance of new pricing programs at both the state and program level, with a focus on key metrics including conversion rates, average quoted premium, segmentation trends, and profitability indicators
- Applying business acumen to translate complex, ambiguous analysis into clear findings and business impact
- Telling a story with data - informing and influencing stakeholders across Delivery, Risk Analytics, Underwriting, and State Management teams
- Delivering executive-level updates through recurring newsletters, memos, and presentations; synthesizing inputs from multiple teams into a single, cohesive narrative
- Building and maintaining monitoring frameworks, guardrails, and quality control processes that support consistent, repeatable program evaluation
- Supporting prioritization of analytical work based on urgency, materiality, and business impact - distinguishing signals that require action from normal market noise
- Leading development of team processes, tools, and analytical capabilities
** The Ideal Candidate Has**
- ** Insurance product or pricing knowledge** - familiarity with insurance products and pricing mechanics, rate calibration, segmentation, and the pricing program lifecycle is strongly preferred
- ** Strong analytical and quantitative skills** - ability to work with large, complex datasets to identify trends, draw meaningful conclusions, and support data-driven decision making
- ** Sound business judgment** - ability to prioritize findings by impact, operate confidently with limited or noisy data, and recommend clear next steps under uncertainty
- ** Technical proficiency** - advanced Excel, Power BI, and the ability to query and manipulate data using SQL, Python, and/or Snowflake
- ** Executive communication skills** - proven ability to write clearly and concisely for senior audiences, translating data into decision-ready insights
- ** Cross-functional effectiveness** - track record of driving work streams forward, building alignment across teams, and influencing without direct authority
- ** Curiosity and intellectual rigor** - a natural problem solver who asks the right questions, challenges assumptions, and digs deeper when results don't add up
** Qualifications
* ** Bachelor's degree in business, information management, economics, or other quantitative field. Master's degree preferred.
* Minimum 4 years, typically 6 years or more of relevant work experience.
* Knowledgeable in data query languages and tools; proficient in new and emerging technologies; may possess data modeling skills.
* Highly developed communication and presentation skills.
* In-depth knowledge of data concepts, strategies, and methodologies.
* In-depth knowledge of data architectures, solutions and designs; extensive knowledge of business operations, strategies and objectives.
* Highly developed negotiation, facilitation and consensus building skills.
** Pay Philosophy:
** The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the…
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