Join the exciting New Business Analytics team within the Personal Lines Economics State Tactics team, dedicated to driving profitable growth through state-specific new business strategies in the Personal Lines Auto/Homeowners' lines.
In this role, you will play a pivotal role in influencing pricing, underwriting, marketing, and capital strategy through timely and robust analyses and tailored guidance. You wil be guiding and evaluating underwriting initiatives, optimizing channel portfolio, and product program evaluation. In addition, you will work in collaboration with other parts of the Economics and Product organizations to evaluate state-specific rate and non-rate levers and operationalize profitable growth strategy.
**This position is able to be remote/hybrid.**
Responsibilities:

• State new program performance evaluations.
• Provide guidance on NB underwriting and other non-rate actions guidance and impact estimates with channel differentiations.
• Develop NB strategy based on profit positions, identify new opportunities, and propose tailored actions to achieve profitable growth in each individual market
• As a subject matter expert for assigned states and product, with solid familiarity with regional/countrywide issues, completes state reviews and similar work for complex states or countrywide programs independently.
• Queries data to conduct ad hoc analysis of metrics and answer advanced business questions and builds advanced tools and queries for others to use.
• Serves as point person for high complexity state specific action implementations.
• Leads own work stream on all projects and manages low to moderate complexity projects.
• Based on strong understanding of how competitor actions impact marketplace, distribution channel and customers, conducts in depth research of competitor filings utilizing various sources. Research may be at the state, competitor, or countrywide level.
• Analyzes trends and is responsible for tactical and strategic recommendations.
• Prior work experience in Personal Lines insurance preferred.

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.

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a "Great Place to Work" by Great Place to Work® US for the past several years. We were also selected as one of the "100 Best Places to Work in IT" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates-as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.