Analyst, Category Strategy Insights HDM

The AnalystCategory 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 questionsalign 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

• Bachelors 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.