Senior Commercial Analytics Manager

Philips•Stamford, CT

1d•Hybrid

About The Position

The Senior Commercial Analytics Manager will deliver decision-ready insights that unlock growth for Philips Personal Health North America. This role translates syndicated, POS, retailer, market share, marketing effectiveness, and advanced analytics into clear recommendations for cross-functional business leaders.

Requirements

5+ years of experience in consumer packaged goods (CPG) or retail/commercial analytics.
Strong communicator and strategic thinker, with the ability to work cross-functionally and synthesize complex data into compelling narratives that drive action and influence senior leadership.
Hands-on experience with US/CA data analytics, POS data, panel data, and retailer data, with expertise in Circana, and proven experience managing MMM analysis and application.
Proficient in practical AI use cases for analytics productivity, insight generation, automation, visualization, and storytelling while following data governance standards.
Bachelor’s degree in Business, Marketing, Analytics, or a related field.
Strong presentation and influencing skills.
High-level expertise in Microsoft Office, especially Excel and PowerPoint.
Ability to synthesize multiple data sources into simple, compelling stories, translating business issues into analytic frameworks, recommendations, and next steps.
Must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

Responsibilities

Own and act as subject matter expert for syndicated data, reporting, analysis, and KPI tracking, ensuring accurate, accessible insights that support business growth.
Translate Circana and related data sources into commercial action, identifying market share trends, category dynamics, consumer shifts, retailer performance, and competitive opportunities.
Build scalable analytics products including leadership dashboards, business reviews, customer-ready presentations, deep dives, and recurring performance views.
Lead advanced MMM (Market Mix Modelling) implementation and application, translating outputs into recommendations that improve marketing effectiveness, ROI measurement, and growth planning.
Partner cross-functionally to drive action, using AI-enabled tools and clear storytelling to accelerate insights, simplify complex analyses, and influence decisions across Sales, Marketing, Category, RGM, Finance, S&OP, Global teams, and senior leadership.