Senior Manager, Data and Analytics

WK Kellogg•Battle Creek, MI

About The Position

The Senior Manager of Data & Analytics is responsible for delivering impactful data insights, compelling storytelling, and innovative problem‑solving that drives smarter, data‑informed decisions across the WK Kellogg Cereal business. This role collaborates closely with cross‑functional partners at all levels of the organization—including Marketing, Sales, Consumer Strategy, Innovation, and Finance—to translate complex analytics into strategic direction enabling business growth.

Requirements

In-depth experience in Business Analysis, Consumer Insights, or related analytics roles.
Bachelor’s degree required, advanced degree a plus.
Proven ability to extract, analyze, and manage large datasets with consistency, accuracy, and repeatability.
Expertise in translating complex analytics into clear, actionable insights and influential storytelling.
Strong stakeholder-management skills, with a track record of partnering across functions and converting business needs into technical and analytical requirements.
Excellent cross-functional collaboration and communication skills, with experience presenting insights and recommendations to senior leadership.
Industry experience in consumer products, syndicated data (Circana / NIQ), or retail strongly preferred.

Responsibilities

Build strong cross‑functional partnerships across Sales, Marketing, Consumer Strategy, Category Management, Finance, and vendor partners to align on priorities and activate insights.
Translate complex business needs into clear analytical requirements and collaborate closely with Data Strategy to enable execution of requirements.
Lead and execute end‑to‑end, data‑driven business analyses integrating multiple syndicated and proprietary data sources—including Circana POS & Panel, consumer research, and external market insights.
Interpret data trends to deliver executive‑ready insights and recommendations through compelling, concise storytelling that balances analytical rigor with business agility.
Champion automation and data-driven improvements, including AI applications
Demonstrate foundational understanding of both ecommerce and brick‑and‑mortar retail dynamics, including key differences in sales drivers and data structures. Design and execute analyses that account for the unique considerations of each retail environment—such as digital shelf metrics, conversion funnels, and omnichannel influences—while synthesizing insights into clear, actionable recommendations.