Pricing Consultant

Liberty Mutual Insurance•,

28d•$83,000 - $176,000

About The Position

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 Pricing Analyst. 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. This position may have in-office requirements depending on candidate location. The level of position offered will be based on skills and experience at manager discretion.

Requirements

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 workstreams 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
Bachelor's degree in business, information management, economics, or other quantitative field.
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.

Nice To Haves

Master’s degree preferred.

Responsibilities

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