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
The Workforce Planning group is tasked with determining how many people our Claims & Service organization needs to complete the number of calls/claims we forecast we will receive. The forecasting team takes the lead by projecting our call/claim volume over the next 2-3 years, using insights about our business, our customers, and thee wider world as inputs to our models. This role will support multiple groups in our Service operation, including our claims call center, helping the business determine how to optimize expenses while meeting customer needs.

• Partner with Finance and Analytics to gain input drivers for call volume forecasts, create forecasting models, and use models to update forecasts for staffing purposes.
• Conduct high complexity analysis for a particular business unit/function.
• Manage moderately complex projects, while providing technical and analytical assessments of issues facing the business.
• Utilize more advanced statistical techniques to solve business problems (knowledge of Python a plus).
• May regularly utilize, update and adapt predictive modeling tools and/or focus on the application of the tools.
• May develop analytic/reporting tools used by others to guide decision-making.
• Answer complex questions by synthesizing data from diverse sources.
• Present findings/recommendations which impact profitability, growth, and/or customer satisfaction.
• May lead discussions with senior leadership at the department or functional level.

• 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.

• California
• San Francisco
• Los Angeles
• Philadelphia