Note: The job is a remote job and is open to candidates in USA. Lactalis USA, a leading dairy company, is seeking a Senior Sales Analyst for United National Foods, Inc. (UNFI). This role is responsible for transforming complex data into actionable insights to drive sales growth and operational efficiency, collaborating closely with various teams to support business performance.

Responsibilities

• Build, automate, and maintain reporting dashboards using Power BI, Excel, and M365 to track UNFI shipments, POS, inventory, distribution, and promotional performance
• Leverage UNFI Insights, Crisp, and internal data sources to analyze trends, identify opportunities, and diagnose root causes of performance changes
• Integrate Circana and Nielsen syndicated data to provide category context, competitive benchmarking, and customer ready selling stories
• Lead weekly/monthly business reviews for the UNFI team, synthesizing data into concise, actionable insights for leadership and customer partners
• Support demand planning by analyzing order patterns, fill rates, inventory positions, and forecast accuracy; highlight risks and opportunities
• Partner with Sales and Category Management to prepare customer presentations, new item sell ins, distribution gap analyses, and promotional post event reviews
• Manage data integrity across multiple systems; ensure accuracy, consistency, and alignment with internal reporting standards
• Develop scenario models for annual planning, pricing, trade spend, and channel strategy
• Identify process gaps and implement scalable, automated solutions that improve reporting efficiency and decision quality

Skills

• Associate's degree (or 5 years of equivalent experience), bachelor's degree preferred
• 3+ years in CPG, retail, or distributor analytics roles
• Power BI (Advanced): DAX, Power Query, data modeling, automated refresh pipelines, and executive ready dashboard design
• Excel (Advanced): Power Pivot, complex formulas, pivot tables, macros/VBA (preferred), scenario modeling
• Microsoft 365: Strong proficiency in Teams, SharePoint, OneDrive, and collaborative workflows
• UNFI Insights: Ability to extract, interpret, and visualize distributor shipment, inventory, and customer level data
• Crisp: Experience with data pipelines, dashboards, and distributor data harmonization
• Circana & Nielsen: POS analysis, category insights, competitive benchmarking, and customer storytelling
• Data Management: Experience with large datasets, ETL processes, and data quality controls
• Direct experience supporting UNFI or other distributors
• Strong understanding of distributor dynamics: fill rates, DC alignment, order cycles, inventory flow, and customer specific nuances
• Proven ability to build dashboards, forecasting models, and executive ready insights
• Experience supporting Sales, Category, Finance, or Supply Chain teams
• Clear communicator who can translate complex data into simple, compelling narratives for non-technical audiences
• Business curiosity with the ability to ask the right questions and challenge assumptions respectfully
• Influence without authority—comfortable guiding cross functional partners toward data driven decisions
• High ownership mindset with strong follow through and accountability
• Comfort with ambiguity and the ability to prioritize in a fast-paced environment
• Collaborative and people first approach that builds trust across teams
• Detail oriented while maintaining a strategic view of the business
• Proactive problem solver who anticipates needs and identifies opportunities before they surface
• Certification in Microsoft Excel and/or Power BI is a plus
• SQL or similar query languages (preferred but not required)

Benefits

• At Lactalis, we offer a comprehensive Total Rewards Program with a variety of affordable benefits and coverage options.
• We support insurance costs significantly
• Contribute generously to retirement plans
• Offer Paid Time Off from day one
• We are committed to your professional growth, providing training and development opportunities, including Education Reimbursement

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