Senior Analyst – Pricing Systems & Tool Delivery

Summary

Liberty Mutual Insurance is an insurance company seeking a Senior Analyst to own pricing tooling and perform hands-on pricing analysis and defect resolution. The role involves gathering requirements, developing and maintaining pricing tools, troubleshooting premium mismatches, supporting rating program rollouts, and collaborating with cross-functional teams.

Responsibilities

• Own the roadmap and backlog for pricing tooling in coordination with US Data Science Tools engineers – prioritizing requirements, refining and estimating tickets, and aligning delivery to stakeholder timelines
• Drive the development and implementation of scripts, tools, and processes for Earnix across various rating programs, states, and lines of business
• Analyze and address procedural and technical challenges, proposing and implementing tool improvements in coordination with team members and management
• Support and maintain SAS environment pricing tools (such as NGRT, Base Rate Calculators, and configuration files) to ensure accurate pricing and successful rating program rollouts
• Work directly with Python, SAS, and Excel to develop or maintain tools, conduct pricing analyses, and perform quality control checks
• Share progress, insights, and outcomes with peers, managers, and cross-functional partners, occasionally through formal presentations
• Demonstrate a team-oriented, growth mindset by sharing knowledge, training colleagues, and striving to enhance team, department, and company performance

Skills

• • Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel
• • demonstrated end-to-end ownership of projects or tools
• • Familiarity with insurance pricing principles
• • Comfort working within a software development lifecycle
• • Strong proficiency in Excel, PowerPoint, VBA and statistical software packages (e.g., SAS, SQL, Python, Snowflake, PowerBI)
• • Must have strong planning, organizational, analytical, decision making and communication skills
• • Bachelor's degree in mathematics, economics, statistics, or other quantitative field
• • Minimum 3 years relevant work experience, typically 4 years
• • Strong proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem)
• • Must have strong planning, organizational, analytical, decision making and communication skills
• • Exposure to Earnix or similar pricing/rating platforms (preferred)

Qualifications

Must Haves

• • Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel
• • demonstrated end-to-end ownership of projects or tools
• • Familiarity with insurance pricing principles
• • Comfort working within a software development lifecycle
• • Strong proficiency in Excel, PowerPoint, VBA and statistical software packages (e.g., SAS, SQL, Python, Snowflake, PowerBI)
• • Must have strong planning, organizational, analytical, decision making and communication skills
• • Bachelor's degree in mathematics, economics, statistics, or other quantitative field
• • Minimum 3 years relevant work experience, typically 4 years
• • Strong proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem)
• • Must have strong planning, organizational, analytical, decision making and communication skills

Nice to Haves

• • Exposure to Earnix or similar pricing/rating platforms (preferred)

Benefits

• Hybrid schedule for candidates living within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX, with two days per week in the office.
• Remote work with occasional travel for candidates who live outside those locations.
• Comprehensive benefits.
• Workplace flexibility.
• Professional development opportunities.
• Opportunities provided through Employee Resource Groups.
• Commission and/or bonus earnings may be included through a corresponding compensation plan, with rates varying based on multiple factors.