Specialist, Marketing Data Information Management

If you’re passionate about becoming a Nationwide associate and believe you have the potential to be something great, let’s talk. 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.

We are seeking a Data and Product Management Expert to join our innovative team. This pivotal role involves:

• Mastering data management and the product management domain.
• Curating and analyzing data with SQL and Python to become a Subject Matter Expert (SME) on the data and its applications for problem-solving.
• Utilizing high technical acumen and marketing prowess to translate data insights into market strategies.
• Developing comprehensive product roadmaps and crafting cutting-edge product features.

Your expertise will guide our data-driven decisions and product development, ensuring our solutions are at the forefront of industry standards. If you have a passion for data and a vision for innovative product management, we encourage you to apply.

It is our intention to fill this role in Columbus, Ohio. However, on occasion, applications from candidates working remotely who bring critical industry skills and relevant experience may be considered. 

This position will be hired on a SuccessFlex basis. 

The hired associate must reside within 35 miles of the following location(s): 

Columbus: One Nationwide Plaza, Columbus OH, 43215 

Work schedule: 2 days in office, 3 days remote.

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Job Description Summary

Building a deep understanding of customers and the marketing that works to attract them begins with developing insights and solutions from data. If you thrive on problem-solving, connecting the dots and being part of an organized and informed project team, have exceptional attention to detail and a deep sense of ownership for quality and project workflow, we want to know more about you!

As a Specialist, you'll develop and support marketing information capabilities and insights for production or internal business partners. This can include responsibility for business and data analytics projects, including development and maintenance of intermediate statistical models and related analyzes. This can also include developing the business understanding vital for analytics projects, obtaining and leading related data, performing analyses, interpreting results, outlining requirements for analytical solutions as needed, providing insights to internal clients and helping implement insights to marketing decisions.

You also may work on projects through one or more of the delivery cycles from initiation, solution scoping, design, development, and analytic execution through implementation. You'll help document business rules, business cases, requirements, information requirements, analytic requirements and implementation strategy for changes and improvements to customer information and decision making both in an analytical and operational environment.

Job Description

Key Responsibilities:

• Assists with multiple projects to develop business and data analysis to drive business objectives.

• Participates on workstreams of projects designed to execute analytics and to deliver analytic and operational capabilities and solutions.

• Helps generate understanding of business processes and assists with identifying critical business metrics and information requirements for decision making.

• Documents the efforts of the business subject matter professionals; assists with the business alignment and scoping sessions.

• Assists in gathering, analyzing and interpreting a wide variety of underlying data to support business, customer and/or financial objectives; able to identify new ways to combine business data to improve business processes and marketing and business outcomes.

• Helps with the initiative to build and/or improve existing statistical models to solve business problems; defining requirements for sophisticated machine-learning models; implementing testing strategy and assists in putting final models into production.

• Assists with interpreting statistical/analytical results and creating a feedback loop for analyzes improvement.

• Builds data visualization to support business needs.

• Helps designs and implements qualitative and