Consultant, Business Insights (Excess & Surplus/Specialty Data)

Nationwide•Scottsdale, AZ

2d•$108,000 - $200,000•Remote

About The Position

Nationwide's Property and Casualty team is seeking a Business Advisor with strong Tableau expertise and a solid data engineering foundation to join their highly analytical, data-driven team. This role will focus on turning complex data into clear, actionable insights for the Brokerage Individual Risk team. The Business Advisor will partner closely with the business to uncover trends, inform decisions, and drive results in a fast-paced environment. Experience in commercial lines, Excess & Surplus, or specialty lines is a plus. The team values knowledge, analytical aptitude, and collaboration, and seeks individuals who thrive in a busy, engaging work environment.

Requirements

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.
Professional experience in insurance, financial services or a related industry preferred.
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.
Other criteria, including leadership skills, competencies and experiences may take precedence.

Nice To Haves

Candidates with experience in commercial lines, Excess & Surplus, or specialty lines will stand out and be well positioned to make an immediate impact.

Responsibilities

Extract data to obtain knowledge and insights.
Manipulate internal and external data through R/SAS/SQL/Python.
Perform diagnostic and inferential analysis.
Investigate complex business concerns using data and statistical techniques.
Apply analysis or visualization techniques.
Build forecasts and/or projections of possible business futures and benefits.
Communicate key findings to business partners.
Maximize insight gained from internal and external data to ensure business partners are making optimally informed decisions.
Apply substantive business expertise to render insights and forecast/project on extracted data sets to craft, package and communicate actionable insights and recommendations to business partners.
Build and maintain relationships and serve as a trusted business advisor to clients, internal risk partners and other stakeholders.
Cultivate partnerships across the company to ensure methodologies and assumptions align with corporate practices.
Participate in the development of scope, risk/control matrix, project timelines and assignments.
Effectively synthesize own project work and the work of team members.
Leverage statistical inferencing when conducting analysis.
Communicate significance in findings when working with business partners.
Utilize appropriate visualization techniques as needed.
Collaborate with leaders to develop strategies for the business unit.
Consult with business to understand, align, and deliver work that supports business objectives and priorities.
Determine appropriate information and data to be shared with customers.
Share financial and operational analyses with appropriate areas of the company as assigned.
Build business intelligence applications using R/Python/SQL/SAS/Tableau.
Manage special projects and serve as an analytic consultant and contact for team members and associates outside the department.
Serve as a consultant and subject matter expert for business areas during the intake and prioritization of data, reporting, analysis, and advanced analytics work.
Contribute 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.
May be responsible for training other users on report preparation and data base access and supporting the research, analysis and presentation of information.
May perform other responsibilities as assigned.