Job Description

Job Description

Job Description

SUMMARY

The Raybern’s Senior Manager Data and Analytics role will play a critical role in transforming large, complex datasets into actionable business insights that drive sales growth, operational efficiency and strategic decision-making. This role will support commercial, finance and supply chain teams through advanced analytics, predictive modeling and data visualization. The Data Scientist will work across multiple syndicated and internal data sources to develop reporting frameworks, optimize trade spend, support forecasting and provide insights into customer and store-level performance.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

Data Strategy and Data Management

• Maintain an inventory of existing data sources and data capabilities across the organization.
• Integrate and analyze syndicated and internal datasets including: NielsenIQ, Circana, 1010data, Datassential, X3, Retailer data platforms (Retail Link, Madrid)
• Transform large, complex datasets into clear business insights to support decision-making.
• Identify opportunities to improve data infrastructure, automation, and accessibility.

KPI Development and Executive Scorecard

• Develop and maintain consumption KPI scorecards for executive leadership.
• Produce standardized reporting including: Consumption reports by customer, Consumption trends by time period, Channel and retailer performance tracking
• Ensure reporting consistency and accuracy across business units.

Retail Sales Analytics

• Manage weekly Walmart and Sam’s Club sales reporting , providing insights across the store network.
• Analyze performance across 4,700+ stores to identify trends and opportunities including: Store-level sales performance, Top-performing stores, Regional demand patterns, Distribution voids
• Provide regional and distribution recommendations to support retailer merchandising decisions (e.g., identifying distribution centers where specific products would outperform alternatives).
• Provide analytical inputs for S&OP and AOP planning cycles .
• Support forecasting discussions in monthly sales connect meetings .
• Develop models to improve forecast accuracy across customers and products.

Financial Modeling & Reporting Support

• Provide modeling inputs for financial reporting and planning .
• Support revenue, margin, and cost analyses tied to sales performance and promotional activities.
• Assist in evaluating trade investments and promotional ROI.

Product Lifecycle & Exit Strategy Analysis

• Support product discontinuation and exit strategies , including:
  • Monitoring inventory sell-through at retail
  • Ensuring efficient depletion of finished goods, raw materials, and packaging
• Provide weekly analytics to ensure alignment between customer inventory and internal supply chain.

Operational Efficiency & Automation

• Identify opportunities to improve process efficiency through automation, analytics tools, and AI applications .
• Develop automated dashboards and reporting tools to reduce manual reporting workload.
• Implement scalable analytics processes that support growing data complexity.

Special Projects & Ad-Hoc Analysis

• Conduct ad-hoc analytical requests from sales, marketing, and leadership teams.
• Provide insights on:
  • Store-level sales performance
  • Regional product opportunities
  • Market share and competitive dynamics
• Lead special analytics projects that drive strategic business initiatives.

Regular and predictable attendance is an essential function of this position.

QUALIFICATIONS

EDUCATION and EXPERIENCE

• Masters (M.B.A. or M.S.) in business, data science, engineering, marketing, or statistics.

• 3–7+ years of experience in data analytics, data science, or commercial analytics.
• Strong experience with large retail or CPG datasets.
• Proficiency in tools such as: Python, SQL, Excel (advanced), Tableau / Power BI
• Experience with syndicated data platforms (e.g., NielsenIQ, Circana, or similar).
• Experience with retail analytics platforms such as Retail Link or retailer POS systems is highly preferred.

REQUIRED KNOWLEDGE, SKILLS, ABILITIES

• General understanding of the food industry and various sales channels.
• Creative, strong interpersonal skills, and excellent analytical capabilities.
• Ability to effectively present information internally, to customers, and to suppliers.
• Advanced analytical and statistical thinking
• Ability to translate complex data into business insights
• Strong communication and data storytelling skills
• Cross-functional collaboration
• Problem-solving and process improvement mindset
• Attention to detail and data accuracy
• Comfortable working with limited resources and brief list of assumptions and able to inspire others to be curious and pursue innovative solutions to identified consumer needs.

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