Senior Manager Data Analytics
Raybern Foods, Shannon, MS, United States
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.
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.