Consultant, Analytic Solution Advisor (PL 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 ClaimCenter, Xactimate, and the claims process as well as knowledge in data analysis using tools such as SQL, Python, Databricks, and Tableau are beneficial.
 

Compensation Grade: G5 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 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:

• Leads advanced analytics projects. Consults with business partners to define and structure analytic projects. Analyzes trends and patterns in structured and unstructured data and synthesizes and communicates relevant insights to project teams and business partners using advanced analytics techniques. May lead multiple concurrent projects.

• Builds, packages and communicates analytic 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 and the work of team members. Work may span more than one project or focus area. Plans and manages execution of work, participates in planning, and delivers on commitments. Develops scope, risk/control matrix, project timelines and assignments. 

• Collaborates with leadership to develop analytics strategies for the business unit. Consults with business to understand, align and deliver analytics work that supports business objectives and priorities. 

• Designs analytics solutions aligned to business needs using statistical, database and/or general programming languages and tools.

• Reviews analytic solution design and provide relevant feedback and coaching to project team associates. 

• Builds and manages relationships and serve as a trusted business advisor to clients, partners in Enterprise Analytics Office, Technology, Advanced Analytics Hubs, and other partners. . Builds partnerships across the enterprise to enhance analytics capabilities. 

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

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Manager/Director Data Leader.

Typical Skills and Experiences:

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