Specialist, Marketing Data Information Management

• Data and Product Management Expert
• We are seeking a

Data and Product Management Expert to join our innovative team.

This pivotal role involves mastering data management, curating and analyzing data with SQL and Python to become a subject‑matter expert, translating data insights into market strategies, and developing comprehensive product roadmaps and cutting‑edge features.

Key Responsibilities

• Assist with multiple projects to develop business and data analysis to drive business objectives.
• Participate on workstreams of projects designed to execute analytics and deliver analytic and operational capabilities and solutions.
• Help generate understanding of business processes and identify critical business metrics and information requirements for decision making.
• Document business subject‑matter professional efforts; support business alignment and scoping sessions.
• Gather, analyze, and interpret a wide variety of underlying data to support business, customer, and financial objectives; identify new ways to combine business data to improve processes and outcomes.
• Contribute to the initiative to build and improve existing statistical models, define requirements for machine‑learning models, implement testing strategy, and assist in model production.
• Interpret statistical and analytical results and create a feedback loop for analysis improvement.
• Build data visualizations to support business needs.
• Design and implement qualitative and quantitative research projects and methodologies to measure consumer perceptions and satisfaction.
• Drive marketing action and results through the interpretation and application of data and research findings.
• Facilitate business implementation planning sessions.
• Assist with post‑implementation checkpoints to ensure solutions are implemented effectively.
• Work with leadership to influence change and gain support for new processes and methods.
• Assist with developing governance, documentation, and training for new processes.
• Perform other responsibilities as assigned.
• Key Skills and Experience
• Undergraduate studies required; graduate studies preferred.
• Five or more years of experience with analytic techniques, statistical methodologies, and data analysis tools.
• Experience working with large customer databases and analyzing product, geographic, and demographic data to identify trends and opportunities.
• Proficient knowledge of the analytic lifecycle, business intelligence, data warehousing, SQL, and qualitative/quantitative research methodologies.
• Strong problem‑solving, research, and quantitative analysis skills; familiarity with regression, decision trees, multivariate analysis, and machine‑learning techniques.
• Good verbal and written communication skills.
• Ability to develop ad hoc SQL queries and work within an Agile framework.
• Leadership and collaborative abilities may be considered as additional strengths.

Benefits

We offer a comprehensive benefits package including medical, dental, vision, life insurance, short and long‑term disability, paid time off (minimum 18 days for new hires, 9 paid holidays, lifetime PTO, and Unity Day PTO), 401(k) with company match, company‑paid pension plan, business casual attire, and more.

Equal Opportunity Statement

Nationwide is an equal opportunity employer.

We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected, and engaged.

Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any protected characteristic.

• Location & Work Schedule
• Primary location: Columbus, Ohio (One Nationwide Plaza, Columbus OH, 43215). The hired associate must reside within 35 miles of the office.
• Work schedule: 2 days in office, 3 days remote.
• Success Flex hiring basis.
• Position may be filled in any of the lower 48 U. S. states.
• Application Window

Applications are being accepted until 05/31/2026, though the posting may close sooner if qualified candidates are identified.

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