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Senior Manager, Analytics & Insights – Logistics
Kimberly-Clark. Develop data-driven decision-making insights for Enterprise Supply Chain end-to-end operations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data-driven decision-making, advanced analytics, and supply chain management, with a strong focus on process mining and technology implementation. Proven ability to lead cross-functional teams, develop data architecture, and drive organizational adoption of analytics for improved operational efficiency.
Highest-signal resume keywords
Data ScienceProcess MiningAdvanced AnalyticsSAP R/3Project Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data VisualizationStatistical ModelingSQLMachine LearningData Architecture DesignKPI DevelopmentAutomation ToolsRelational Database StructureData AnalysisExcel
Soft Skills
LeadershipCollaborationCoachingProblem-SolvingCommunication
Tools & Technologies
Power BIPower QueryCelonis EMSSAP S4Business Warehouse (BW)SAP HANASnowflake
Certifications & Qualifications
Agile CertificationCSPOPSPO
Industry Keywords
Supply ChainCross-Functional TeamsData-Driven InsightsChange ManagementNetwork Analysis
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Develop data-driven decision-making insights for Enterprise Supply Chain end-to-end operations
- Focus on process mining and analytics to ensure supply chain business process and technology capabilities are effective and efficient
- Direct data scientists and supply chain consultants in day-to-day functional activities
- Engage with ESC Operating Office leadership, Customer Service, Logistics, Transportation, Global Supply Chain, and DTS
- Create and maintain data architecture for process mining
- Develop KPI metrics, automation, and analyses for sustained problem-solving
- Partner with a DTS product team and Global Supply Chain Process Mining COE
- Set product vision and winning strategies, represent customer needs, and measure product value
- Lead stakeholders in understanding data and analytical needs for initiatives and functional strategy
- Develop and improve network analysis processes, model cycle times, and communicate recommendations
- Manage analysis requests, assumptions, data analysis, and trade-off comparisons
- Drive implementation of technology supporting network analysis agility, speed, and accuracy
- Oversee business opportunities, initiatives, roadmaps, and change management
- Lead strategic cross-functional improvement opportunities across Supply Chain
- Lead, hire, coach, and develop team members
- Drive data and analytics adoption in organizational decision-making
- Collaborate with DTS Product Team on feature vision, business outcomes, KPIs, progress, and value
Requirements
What you’ll need- Bachelor’s degree in Supply Chain, Computer Science, Engineering, Mathematics, Statistics or related technical field
- 8+ years of business experience with 5+ years of cross-functional Supply Chain experience
- 5+ years of working experience in data science, analytics and/or data modeling
- Advanced analytics, data visualization, and reporting dashboard design and development experience
- Knowledge of or willingness to learn new analytical and automation tools
- Demonstrated leadership in executing innovative solutions through process and technology
- Working knowledge of Kimberly-Clark’s supply chain interactions preferred
- Strong technical/analytic skills and experience with SAP R/3, Business Warehouse (BW), SAP S4, Power BI, Power Query, and Celonis EMS preferred
- Experience with statistical modeling, R, Python, Excel, and machine learning techniques preferred
- Advanced experience with relational database structure, data architecture design, SQL, SAP HANA / VDMs, and Snowflake preferred
- Strong project management knowledge preferred
- Experience working with cross-functional Agile teams preferred; Agile certification such as CSPO or PSPO preferred
- MBA or MS in Engineering, Data Science, Analytics or technology preferred
- Must be a local candidate already authorized to work in the role’s country
- Employment subject to pre-screening tests, which may include drug screening, background check, and DMV check
Benefits
Comp & perks- Flexible work model blending remote work with intentional in-person collaboration
- Target bonus eligibility
- 401(k) plan
- Profit Sharing plan
- Comprehensive benefits suite
- Coaching and feedback
- Opportunities for growth and development