Principal Team Leader, Supply Chain Analytics

Job Function
Supply Chain
Position Type
Experienced Professionals
Travel Requirements
10%
FLSA Status
Exempt
Requisition ID
2026-19463
Posting Location : Location
US-GA-Atlanta
Relocation Assistance Provided
No

Overview

As a part of the Chick-fil-A Supply Chain Analytics (SCA) team, the Supply Chain Principal Analytics Product Leader will be responsible for leading a team of analysts in support of a product lane. The SCA team generates actionable insights by combining data with business knowledge to ensure that all Supply Chain functions have the timely, quality information and applied analysis they need for business decisions supporting Chick-fil-A Restaurant Operators.  Examples of team projects include KPI development, dashboarding & reporting, data management/curation, data visualization, data exploration, and statistical modeling.

 

This role has two main functions. The first is to lead a team of analysts to generate insights for strategic decision-making and action. The second main function for the role is to sit as a leader on the product leadership team.  A strong understanding of Supply Chain business process is valued alongside in-depth knowledge of data and analytics methods and techniques.  

 

Chick-fil-A Supply Chain has an objective to Minimize Costs and reliably Fulfill the Menu in restaurants while ensuring high Quality standards. This role is responsible for driving analytics to fulfill this objective.

 

Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.

Responsibilities

• Manage and lead a team of analytics professionals and contractors who generate insights and data-driven process improvements
• Identify analytical opportunities and prioritize execution of value-driven projects while addressing operational constraints
• Leverage a strategic framework to mature Supply Chain’s data and analytics decision making
• Understand, define and document Supply Chain business data/analytics needs or use cases
• Train and mentor team members while overseeing the day-to-day execution of analytics projects
Create and Understand Business Requirements:
• Work closely with stakeholders to gather detailed requirements for projects and initiatives.
• Analyze and interpret business needs, translating them into actionable tasks and priorities.
Create Clarity for the Team from Ambiguity:
• Take complex, unclear, or incomplete information and distill it into clear tasks, objectives, and timelines for the team.
• Proactively address potential roadblocks or gaps in understanding before they affect project outcomes.
• Serve as a guide for the team in ambiguous situations by setting clear goals and offering support in navigating uncertainties.
Attend Meetings as a Strategic Partner:
• Engage in meetings not only to absorb information but to contribute valuable insights and recommendations based on team and project needs.
• Collaborate with other teams, ensuring that the team’s work is aligned with broader organizational goals.
• Anticipate future needs or potential issues and bring those perspectives to discussions, positioning yourself as a proactive leader rather than just a participant.

Minimum Qualifications

• 3.2 GPA minimum
• Bachelor’s degree in business, Information Systems, Statistics, Mathematics, Engineering, Computer Science, or similar quantitative fields 
• 3-5 years of analytics experience with focus on performance management and financial modeling
• Strong analytical and leadership skills
• Ability to communicate complex information effectively to others
• Ability to manage multiple projects and deadlines simultaneously
• Proficiency in SQL, Alteryx and Tableau

Preferred Qualifications

• 7-9 years of analytics experience with focus on performance management and financial modeling

Minimum Years of Experience

3

Travel Requirements

10%

Required Level of Education

Bachelor's Degree

Major/Concentration

business, Information Systems, Statistics, Mathematics, Engineering, Computer Science, or similar quantitative fields

Relocation Assistance Provided

No

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