Product Analyst - Personal Lines Performance (Hybrid)

We are seeking a Product Analyst with insurance/product management experience to join our Performance team as part of the Product Analytics organization. The position includes responsibility for providing countrywide insights on the profit and growth performance of our Personal Lines products. This role will report directly to the Personal Lines Performance Senior Manager.

The Product Analyst is part of the Product Analytics team and will work cross functionally within Product Management on a regular basis to design and build financial and operational models and tools to report on and analyze performance and influence product improvements. Strong candidates are collaborative, curious, have a passion for working with data, problem solvers with strong quantitative acumen, demonstrate strong analytical and problem-solving skills. This position offers an excellent opportunity to interact with a variety of departments in the organization (Product, Finance, Claims, Reserving, Operations, etc.) and the broader American Family community.

Position Compensation Range:

$68,000.00 - $113,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

       Primary Roles and Responsibilities:

• Assist in the project management and creation of the monthly and quarterly reporting on Personal Lines business results.
• Perform variance analysis on a countrywide basis.
• Understand premium and coverage/peril drivers as well as claims and sales performance.
• Deliver operational insights to achieve key performance indicators.
• Analyze drivers of profitability, including production, retention, average premium, frequency/severity trends, loss ratios, and other data.
• Recommend actions to achieve profitability and growth goals.
• Perform modeling, “what-if’, scenarios on production, premium, and loss trends.
• Build and enhance resources using Excel, Tableau, Power BI, etc. to create efficiency in processes used to maintain monthly and quarterly reporting

Requirements

• ​Relevant Experience: A minimum of 4 years of professional experience, ideally including work in Property & Casualty insurance preferred.
• Educational Credentials: A bachelor’s degree and quantitative analytical knowledge is required; a graduate degree and/or CPCU designation is preferred, but not required.
• Entrepreneurial Mindset: A self-starter who can identify business opportunities, develop a product plan to capitalize on those opportunities, and successfully implement the plan.
• Structured & Logical Thinking: The ability to identify and define business problems and issues, and develop strategic, analytical, and financial frameworks to conduct analyses.
• Analytical Rigor: Analyze state performance, identify additional areas of research, and recommend improvements.
• Powerful Communication: The ability to communicate effectively, succinctly across a variety of media, and to various levels of management, including Senior Executives.
• Team Player: The candidate is collaborative, and able to work well as part of a team.
• Software Experience: Subject matter expertise in the areas of SQL, SAS, R, Python, Tableau, Power BI, and/or other programming/data query/reporting knowledge, in addition, intermediate to advanced skills in Microsoft Excel and PowerPoint. Think-cell knowledge is highly preferred.

Additional Information

• Offer to selected candidate will be made contingent on the results of applicable background checks

• Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions

• Sponsorship will not be considered for this position unless specified in the posting

The candidate selected for this position will be a creative, out-of-the-box thinker who is intellectually curious with a demonstrated interest in learning. This person will also need to be a self-motivated, high-energy individual who can easily function in a fast-paced, performance-driven environment. He/she must have a passion for working with big data, and building simple, visual tools and reports to analyze result