Senior Analytics Manager

Kimberly-Clark Corporation; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Kimberly-Clark Corporation is seeking a Senior Analytics Manager to lead a data-driven team focused on supply chain insights in a hybrid work environment. You will develop analytics for end-to-end operations, manage data science initiatives, and advance process mining with stakeholders across the business.

The role requires a strong background in cross-functional supply chain analytics, data architecture, and KPI development.

Qualifications

• Bachelor’s degree in a technical field (e.g., Supply Chain, CS, Engineering, Mathematics, Statistics).
• 8+ years of business experience, with 5+ years in cross-functional supply chain roles.
• 5+ years of experience in data science, analytics, or data modeling.

Responsibilities

• Develop data-driven decision-making insights for end-to-end supply chain operations, focusing on process mining and analytics.
• Direct activities of data scientists and supply chain consultants, ensuring collaboration with leadership and cross-functional teams.
• Create and maintain robust data architectures, developing KPI metrics and analyses to support problem-solving.

Skills

Analytics leadership

Data-driven decision making

Process mining

KPI development

Cross-functional collaboration

Education

Bachelor’s degree in a technical field

Job description

Leading a team focused on data-driven insights, the full-time Senior Analytics Manager will develop analytics for supply chain operations, manage data science initiatives, and enhance process mining while collaborating with various stakeholders in a hybrid work environment.

Key responsibilities

• Develop data-driven decision-making insights for end-to-end supply chain operations, focusing on process mining and analytics
• Direct activities of data scientists and supply chain consultants, ensuring effective collaboration with leadership and cross-functional teams
• Create and maintain robust data architecture, developing KPI metrics and analyses to support sustained problem-solving efforts

Required qualifications

• Bachelor's degree in Supply Chain, Computer Science, Engineering, Mathematics, Statistics, or a related technical field
• 8+ years of business experience, including 5+ years in cross-functional Supply Chain roles
• 5+ years of experience in data science, analytics, and/or data modeling