Consultant, Product Analysis - Personal Lines Property & Specialty

Description

This is a ranged posting. Position offered will be at manager discretion based on skills and experience.

This role may have in-office requirements based on candidate location.

Seated within the Property & Specialty line of business, the Delivery Monitoring team is a high-visibility and growing team looking for a Senior Analyst or Consultant. This unique role offers the opportunity to be a direct and key contributor to profit and growth goals and help shape current and future pricing programs including our nester homeowners program. You will be responsible for defining key metrics, analyzing & visualizing new product results, identifying key trends, maintaining communication & relationships with stakeholders across the organization, and informing future product rollouts. As subject matter expert, your analysis and recommendations have a direct impact on business and are shared with leadership.

In this role you can expect to:

• Analyze high complexity business problems, including querying data with limited direction
• Influence action based on results and recommendation
• Identify trends and issues in assigned states or product line.
• Become empowered to share opinions, independently own projects, and make the team better
• Presents state reviews, other analyses and results of country wide initiatives to Product managers.

• Have an analytical aptitude with the ability to execute complex analysis, proactively identify trends, and make recommendations
• Have technical skills in data analysis and visualization tools such as data analysis software (ex. SAS or SQL), PowerBI, and Excel
• Demonstrate a natural curiosity and independent problem solving
• Intermediate knowledge of insurance products
• Exhibit project management, collaboration, and communication skills
• Be proactive, curious, autonomous and willing to influence others

• 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.

• California
• Los Angeles Incorporated
• Los Angeles Unincorporated
• Philadelphia
• San Francisco