Consultant, Business Insights (Advanced Analytics & Risk Selection CL & ESS)

Nationwide is a Fortune 100 company focused on helping people protect what matters most. As a Consultant in Business Insights, you will leverage advanced analytics and risk selection to drive data-driven underwriting and claims excellence, translating complex data into actionable insights for business partners.

Responsibilities:

• Applies substantive business expertise to render insights and forecast/project on extracted data sets to craft, package and communicate actional insights and recommendations to business partners
• Builds and maintains relationships and serves as a trusted business advisor to clients, internal risk partners and other stakeholders. Cultivates partnerships across the company to ensure methodologies and assumptions align with corporate practices
• Participates in the development of scope, risk/control matrix, project timelines and assignments. Responsible for effectively synthesizing own project work and the work of team members. Work may span more than one project or focus area
• Leverages statistical inferencing when conducting analysis. Communicates significance in findings when working with business partners. Utilizes appropriate visualization techniques as needed
• Collaborates with leaders to develop strategies for the business unit. Consults with business to understand, align, and deliver work that supports business objectives and priorities
• Determines appropriate information and data to be shared with customers. Shares financial and operational analyses with appropriate area of the company as assigned. Responsible for building business intelligence applications using R/Python/SQL/SAS/Tableau
• Manages special projects and serves as an analytic consultant and contact for team members and associates outside the department
• Serves as a consultant and subject matter expert for business areas during the intake and prioritization of data, reporting, analysis, and advanced analytics work
• Contributes to the continuous improvement of department processes through ongoing initiatives
• May be responsible for preparation of reports and use of information systems, software and related sources of information. Also, may be responsible for training other users on report preparation and data base access and supporting the research, analysis and presentation of information

Requirements:

• Experience in analytics, data science, or technical project leadership
• Demonstrated success in executing data-driven projects using agile and continuous improvement methodologies
• Strong cross-functional collaboration and change leadership experience
• Familiarity with Nationwide's Commercial and Excess, Surplus & Specialty products and services is a plus
• Familiarity with predictive modeling techniques and statistical and predictive modeling packages
• Undergraduate studies in data or business analytics, computer science, management information, business, mathematics or related field with post-graduate studies preferred
• Typically, eight or more years of experience in data extraction, data manipulation, analysis, and data visualization
• Experience with advanced statistical techniques such as business intelligence
• Detailed experience with data-extraction problem solving; working with large structured and unstructured data sets and databases to build understandable and relevant analyses
• In-depth knowledge of business policies and procedures, customer service concepts and practices
• Sophisticated understanding of creating and maintaining ad hoc and standard analysis, including data visualization, predictive modeling and business intelligence tools
• Working knowledge to conduct extraction of data for functional and operational analysis and modeling
• Strong communication skills for interactions with others
• Ability to understand business processes and the data produced by them
• Ability to understand functional and operational measurement needs, analyze data requests and interpret and translate business problems into solutions
• Ability to work under tight time constraints
• Capable of developing distinctive and understandable data visualizations
• Professional experience in insurance, financial services or a related industry preferred