Specialist, Analytic Solution Advisor (Personal Lines Claims)

If you’re passionate about helping people protect what matters most to them, as well as innovating and simplifying processes and operations to provide the best customer value, then Nationwide’s Property and Casualty team could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

This role will focused on supporting our Personal Lines Claims Organization.  As an Analytic Solution Advisor in our Personal Lines Advanced Analytics team you will be supporting the development and implementation of AI (including predictive and generative) for Claims.  A strong background in data analysis using tools such as SQL, Python, Databricks, and Tableau as well as knowledge in ClaimCenter, Xactimate, CCC and the claims process are beneficial.  

Compensation Grade: F5 payband.

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Job Description Summary

Do you have the desire to play a critical role in driving data-based business outcomes? At Nationwide, our Analytic professionals are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning and data visualization techniques. They participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. If that sounds like something you aspire to, we want to know more about you!

As an Analytic Solutions Advisor, you’ll be responsible for working with Nationwide business leaders and data scientists to design and implement advanced analytics solutions that deliver deep insights, and translate into high business value to our organization. To succeed, you’ll need to use your business knowledge and a solid understanding of advance analytics (e.g., artificial intelligence, machine learning, etc.) to prioritize business problems and convey goals to data science professionals. You’ll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology and programming languages such as SQL and Python.

Job Description

Key Responsibilities: 

• Participates in identifying and delivering advanced analytics solutions. Analyzes business results and trends and patterns in structured and unstructured data to evaluate or define opportunities. Develops/supports communication of insights and recommendations to partners and partners. May lead small projects.

• Builds, packages and communicates analytics work (synthesis) using appropriate medium for relevant insights and applicable data visualizations. Uses statistical techniques to determine patterns and predict future business outcomes and trends. 

• Synthesizes project work. Plans and manages execution of work, participates in planning, and delivers on commitments. May participate in the development of scope, risk/control matrix, project timelines, and assignments. 

• Participates in the delivery of analytics work that supports business objectives and priorities. 

• Participates in the design of analytics solutions aligned to business needs using statistical, database and/or general programming languages and tools. 

• Builds and manages relationships and serve as a trusted business advisor to clients, partners in Enterprise Analytics Office, Nationwide Technology, Advanced Analytics Hubs, and other partners. 

• Actively contribute to the continuous improvement of department processes through ongoing initiatives. 

May perform other responsibilities as assigned. 

Reporting Relationships: Reports to Consultant, Senior Consultant or Director

Typical Skills and Experiences: 

Education: Undergraduate studies in statistics, actuarial science, engineering or related quantitative field, business science or business administration.

License/Certification/Designation: Certifications are not required but encouraged.

Experience: Typically, les