Sr. Lead Analyst, Supply Risk

pply and from this angle, we can create a more cohesive view.

The CapCon Technical Lead, specializing in data analytics and modeling, will be instrumental in leveraging data-driven insights to mitigate risk of supply. This role involves building and running analytical models, creating visualizations, and collaborating with internal and external stakeholders to ensure future supply continuity.

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

1. Data Modeling and Analysis:

• Develop and implement advanced data models for supply analysis

• The ideal candidate does not think about the data as data - rather, they understand it is information required and constructed to drive critical decisions - understanding what the data means and the why behind it requires becoming a CapCon subject matter expert

• Utilize statistical methods and machine learning techniques to extract meaningful insights

• Translate complex data into actionable recommendations

2. Visualization and Reporting:

• Design and create interactive visualizations to communicate supply chain performance

• Generate reports and dashboards for key stakeholders

• Implement data visualization best practices for clear and effective communication

3. Supplier Data Management:

• Collect and analyze supplier-related data for performance evaluation

• Build predictive models to identify potential risks and opportunities

• Collaborate with suppliers to enhance data sharing and analytics capabilities

4. Internal Collaboration:

• Work closely with cross-functional teams to integrate data analytics into decision-making processes

• Collaborate with IT teams to ensure data integrity and accessibility

• Provide training and support on data interpretation and analytics tools

• Knowledge of sourcing/procurement/food service industry preferred

5. Continuity Planning through Models:

• Develop and implement predictive models for supply chain continuity planning

• Test and validate models to ensure accuracy and reliability

• Update models based on changing business requirements and industry trends

6. Continuous Improvement:

• Identify opportunities for process improvement through data analysis

• Stay up to date on emerging technologies and industry best practices, including risks

• Implement advanced analytics solutions for ongoing supply optimization

Minimum Qualifications

1. Education:

• Bachelor's Degree in Data Science, Analytics, Supply Chain Management, or a related field

2. Experience:

• 4+ years of experience in Supply Chain, Economics, Risk Management, Analytics, or related field

3. Skills:

• Proficiency in data analytics and statistical modeling tools (e.g., Python, R, SQL)

• Experience with data visualization tools (e.g., Tableau, Power BI, Looker)

• Strong problem-solving and critical thinking skills

• Familiarity with data visualization tools and techniques

4. Abilities:

• Ability to communicate complex analytical findings to non-technical stakeholders

• Detail-oriented with a focus on data accuracy

• Capacity to adapt to changing priorities and handle multiple tasks

Preferred Qualifications

1. Certifications:

• Relevant certifications in data science, analytics, or supply chain management

Minimum Years of Experience

4

Travel Requirements

10%

Required Level of Education

Bachelor's Degree

Major/Concentration

Data Science, Analytics, Supply Chain Management, or a related field