Analyst, Category Strategy Insights MCCS

The Analyst,Category Strategy & Insightsleverages customer, syndicated, POS, and shopper/panel data (e.g.,Circana, Numerator) and visualization tools (e.g., Power BI) to deliver routine reporting and in-depth analytics that translate into actionable recommendations on assortment, shelving, merchandising, pricing, and promotion. The role integrates space analytics and retailer context to build customer-specific category stories and roadmaps, supporting reset readiness through whitespace identification, SKU optimization, and planogram-informed space recommendations grounded in shopper behavior.Key Responsibilities

• Deliver routine reporting and ad hoc analyses using customer, syndicated, and panel data toidentifytrends and opportunities in category performance.

• Analyze shopper behavior and category dynamics, including (as applicable) purchase frequency, buy rate, penetration, cross-shop, leakage, and shopper demographics.

• Integrate multiple data sources (e.g.,Circana, Numerator, customer/retailer data, internal datasets) to develop a holistic view of category and shopper performance.

• Translate complex analyses into clear, customer-ready storytelling and insights using MS PowerPoint and visualization tools (e.g., Power BI).

• Develop recommendations on distribution, assortment, shelving/space productivity, merchandising, pricing, and promotion based on fact-based analysis.

• Partner with customer teams and internal stakeholders to understand business questions,align onobjectives, and deliver insights that inform commercial decisions.

• Contribute to team capability building by aggregating best practices, improving analytical approaches, and supporting repeatable reporting and insight frameworks.

• Manage multiple projects and timelines with discipline; prioritize effectively to meet deadlines in a fast-paced and changing environment.

Required Qualifications

• Bachelor’s degree in a relevant field (e.g., Business, Analytics, Economics, Marketing, Statistics) or equivalent practical experience.

• Demonstrated analytical capability, including working with large datasets and producing clear, defensible insights.

• Experience with retail POS, syndicated, and/or panel data and related analytical approaches (e.g.,Circana, Numerator, Power BI, or similar).

• Strongproficiencywith Microsoft Excel, including data manipulation and structured analysis.

• Strong written and verbal communication skills, including the ability to build clear, audience-appropriate storylines in PowerPoint.

• Strong organizational, time management, and prioritization skills; ability to meet deadlines within specified time constraints.

• Ability to adapt to evolving business needs and ambiguity inherent in a newly formed role/team.