Sr. Manager, Analytics & Insights

Responsibilities

• Build and govern the data foundation: Define data models, ownership, and quality standards to enable a single source of truth across supply chain
• Establish analytics frameworks: Standardize reporting logic and analytics methodologies for forecast performance, inventory, service, and execution
• Deliver insights and visualization: Develop dashboards and tools that translate complex data into clear, actionable insights for operational and executive decision-making
• Enable planning and execution: Support S&OP and S&OE processes with consistent, scalable analytics and reporting
• Pivot towards data-driven, integrated supply chain: Shift from fragmented, manual reporting to standardized, automated, and insight-led decision-making

Requirements

• Bachelor’s degree or equivalent years of directly related experience
• Relevant experience: 7 years
• Leadership experience: 5 years

Qualifications

• Fluency in English
• Proven ability to translate complex data into business insights and decisions
• Experience with data platforms and advanced analytics techniques
• Strong stakeholder management and communication skills
• Organizational, interpersonal, and communication skills
• Experience working with ambiguity and high learning agility
• Ability to build strong relationships and communicate with a breadth and variety of internal and external resources
• Strong experience in data analytics, visualization, and data engineering within a supply chain or operations environment
• Data Science experience

Skills

• Proven ability to translate complex data into business insights and decisions
• Experience with data platforms and advanced analytics techniques (e.g., predictive modeling)
• Strong stakeholder management and communication skills across technical and business teams
• Demonstrated leadership experience in driving analytics initiatives at scale
• Strong organizational, interpersonal and communication skills
• Experience working with ambiguity and high learning agility
• Ability to build strong relationships and communicate with a breadth and variety of internal and external resources
• Strong experience in data analytics, visualization, and data engineering within a supply chain or operations environment
• Data Science experience

Benefits

• Health
• Life
• Retirement
• Flexible time off for salaried associates
• Paid time off for hourly associates

Pay

• Commensurate with experience

Schedule

• Monday – Friday, 8:00 AM – 5:00 PM CST

Location

• Onsite

Travel Requirements

• Up to 20%

Sponsorship

• No