Responsibilities

• Full analysis and insights of sales fundamentals to gain share profitably
• Collect and analyze syndicated data (Nielsen, Luminate), retailer data, and internal sales data to identify trends, patterns, and key performance indicators
• Develop custom reports and dashboards to visualize insights and communicate key findings to stakeholders
• Analyze and define the growth levers relevant to customer with specific focus on the category, selling through category insights
• Liaison between SS&P and Brand and Sales team focused on specific customer in field and supporting the Sales for category sell in stories
• Collaborate with cross-functional teams to develop category strategies aligned with overall business objectives
• Collaborate with Data Science, Consumer Insights & retailer teams to provide cohesive data attribution for the business and wholistic sell-in stories
• Track category performance against key metrics (sales, share) and identify areas for improvement
• Effectively communicate category insights and recommendations to stakeholders across different departments including sales, brand, and SS&P
• Develops business opportunities and strategies to grow brand within category

Requirements

• Demonstrated proficiency creating inferences/actionable insights from syndicated data and/or customer insights (Nielsen and Luminate/Scintilla experience strongly preferred)
• Bachelor’s degree preferred.
• 7+ years of experience in retail analytics
• Forefront thinking
• Strong analytic skill set with the ability to provide actionable recommendations based on critical metrics
• Experience presenting to & selling with retail customers
• Written and oral communication skills
• Should be goal oriented, confident, outgoing, with a desire to succeed.
• Business analytic platform experience (Power BI or other relevant software)
• Experience in enterprise data stewardship