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Consumer Analytics Senior Manager

Job ID 2026-10613
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Wolverine World Wide, Inc. (NYSE:WWW) is one of the world’s leading designers, marketers, and licensors of footwear and apparel; It’s global footprint spans 170 countries and territories. The Company’s portfolio includes Merrell®, Saucony®, Sweaty Betty®, Hush Puppies®, Wolverine®, Chaco®, Bates®, HYTEST®, and Stride Rite®. The Company is also the global footwear licensee of brands Cat® and Harley-Davidson®.

Wolverine Worldwide is driven by a Vision to Make. Every Day. Better. for its consumers, partners, communities, and shareholders.
In 2025, the Company was recognized by Footwear News as Company of the Year, by Forbes as one of America’s Dream Employers, America’s Best Employers for Women, and America’s Best Employers for Company Culture, and by Inspiring Workplaces as one of the Most Inspiring Workplaces Globally.
Wolverine Worldwide is a Certified™ Great Place To Work®.


The Consumer Analytics Senior Manager leads the analytics and insight engine that powers Wolverine Worldwide’s digital commerce performance across brands and channels. This role translates consumer and eCommerce data into clear, decision ready insights that drive revenue growth, margin improvement, and better consumer experiences.

The Senior Manager will manage performance frameworks, guide forecasting and driver analysis, establish test and learn rigor, and act as a strategic thought partner to senior leaders on how to scale profitable digital growth.



Primary Duties:

  • Manage and optimize portfolio-level eCommerce performance measurements

  • Lead the conversion funnel analysis and identify drop-off drivers, test hypotheses, and collaborate with Commercial & UX teams to implement improvements

  • Lead weekly, monthly, and quarterly performance readouts, clearly articulating drivers vs. plan and key risks/opportunities

  • Elevate analytics from reporting to decision support for senior leaders

  • Partner with Finance and Commercial teams to forecast revenue and site KPIs

  • Translate digital metrics into financial impact (net revenue, gross margin, operating profit) to support investment decisions and business cases.

  • Act as a strategic analytics partner to eCommerce, Marketing, CRM, Merchandising, and Marketplace teams.

  • Continuously raise the bar on methodologies and insight quality.

  • Performs duties consistent with the company’s AAP/EEO goals and policies.

  • Performs other duties as required/assigned by manager.

Knowledge, Skills and Abilities Required:

  • 8+ Years of experience in eCommerce analytics, consumer analytics, growth strategy, or digital performance

  • Fluency with eCommerce analytics and BI tools (e.g., GA4 or equivalent, Power BI/Tableau, experimentation platforms) with the ability to translate tool output into business and financial insights.

  • Strong understanding of eCommerce KPIs, conversion funnels, attribution, and experimentation

  • Proven ability to translate complex data into executive-ready insights and recommendations

  • Experience partnering with Finance on forecasting and performance management

Working Conditions:

Normal office environment. Some travel may be required.

Wolverine Worldwide has a flexible, hybrid work schedule, with three days in office and two days remote.

#LI-KD

The above statements are intended to describe the general nature and level of work being performed and are not intended to be an exhaustive list of all responsibilities, duties and skills which may be required.

Wolverine Worldwide, Inc. is committed to creating a company that is as diverse as our consumers. We value the differences in one another and believe our differences make us stronger. Our diverse and inclusive corporate culture starts with the recruitment process. We are committed to being an equal opportunity employer. We aim to create equal opportunities for our associates, customers, and suppliers regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other legally protected characteristic.

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