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 competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
Description
Insights & Solutions
The creative problem solvers in Liberty Mutual's Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you'll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working.
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The Insights & Solutions team provides critical analysis through five functional groups within US Retail Markets:
- Distribution, Marketing & Experience Insights & Solutions
- Data Office
- Claims & Service, Insights & Solutions
- Knowledge & Development Solutions
- Data Science
The Claims & Service, Insights & Solutions team at Liberty Mutual provides valuable insights that enhance our claims processes and elevate our customer service. This team of creative problem solvers uses data to drive meaningful change and inform decisions that improve operations and the customer experience. Join us and be part of an ambitious team helping to redefine the future of claims and service at Liberty Mutual.
The Claims & Service Insights & Solutions team provides critical insight across four key areas of expertise:
- Advanced analytics
- Process improvement
- Workforce forecasting and management
- Operations and enablement
Level of position offered will be based on skills and experience at manager discretion.
This role may have in-office requirements based on candidate location.
About the Role:
Auto Physical Damage (APD) Claims Analytics team within the USRM Insights & Solutions group is searching for a highly motivated analyst to join our ranks. In this role, you'll harness your advanced technical skills to analyze data and provide actionable insights to our USRM Claims organization, directly influencing key business decisions. The ideal candidate will possess advanced technical skills necessary to procure and manipulate data, critical thinking and analytical skills necessary to identify trends and draw conclusions from that data, and the communication/influencing skills necessary to bring those conclusions to life. In this role, you will:
- Develops analyses based on complex data for Auto Physical Damage (APD) claims and related functional areas.
- Quantifies the competitive performance of the business, evaluates potential operational changes, and designs new approaches and methodologies to solve business problems or improve analytical efficiency.
- Produces meaningful observations and recommendations through synthesizing data from internal and external sources. Utilizes advanced statistical techniques. May regularly utilize, update and adapt predictive modeling tools and/or focus on the application of the tools.
- Leads own work stream and may manage research projects of moderate to high complexity to uncover operational insights for the APD Claims organization.
- Conducts modeling/analytical work which directly impacts profitability, growth, and/or customer satisfaction outcomes that empower our APD OneTeam partners.
- Presents findings / recommendations and leads discussions with senior leadership (VP/SVP) at the department or functional level.
- Serves as a resource to less experienced analysts.
- Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required.
- Mathematics, Economics, Statistics or other quantitative field are preferred fields of study.
- Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques.
- Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem).
- Must have good planning, analytical, decision-making and communication skills. Solid understanding of business to improve business outcomes.
As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally.
At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.
We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage.
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.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco