Omnichannel Development Analyst

Reckitt

Parsippany-Troy Hills, NJ

Full Time

Mid Level

15 days ago

Job Description

About the Role

We're seeking a Sales Analyst to build and manage a centralized data hub for Mead Johnson Nutrition Grocery sales team. This role will unify complex, fragmented sales, share, promotional, inventory, and operational data into a single, streamlined reporting ecosystem. Supporting both our Grocery Channel and Whitespace customers (Dollar, Natural, WIC Direct, A50 stores), you'll partner with our internal sales team and 3rd party brokers—who manage 60+ regional and national grocery accounts—to deliver accurate, timely, and actionable insights. Your work will transform how our team accesses and uses data, enabling faster decisions, clearer performance visibility, and a stronger competitive edge.

Key Responsibilities

Develop and maintain automated dashboards integrating data from multiple sources (syndicated, retailer, and internal systems).
Standardize reporting processes across the Grocery and Whitespace customer portfolio.
Support customer and broker teams with timely, actionable insights to drive sales growth.
Manage operational reporting for PO tracking, reverse logistics, and supply efficiency.
Maintain and update backend data sets to support account teams in their monthly sales forecasting efforts.
Prepare and deliver monthly financial performance reports, including variance analysis against plan and forecast.
Identify and track promotional effectiveness, ROI, and trade spend performance.
Analyze retail media performance, including retailer-run campaigns and last-mile providers (e.g., DoorDash, Instacart), and provide recommendations for optimization.
Deliver ad-hoc analyses for sales strategy, customer meetings, and leadership reviews.
Proactively identify gaps or risks in performance and recommend data-driven solutions.
Stay informed on industry trends, retail performance metrics, and analytics best practices.

Requirements

Bachelor's degree in Business, Analytics, Data Science, or related field (or equivalent experience).
2+ years in sales analytics, business intelligence, or related field—CPG or retail preferred.
Strong Excel skills and proficiency with BI tools (Power BI, Tableau, or similar).
Experience working with large, complex data sets and integrating multiple data sources.
Knowledge of syndicated data (IRI, Nielsen, SPINS) strongly preferred.
Excellent communication skills, translating complex data into clear business insights.
Self-starter, organized, and able to manage multiple priorities in a fast-paced environment.