Supply Chain Data & Analytics Lead

Kimberly-Clark

Supply Chain Data & Analytics Lead focusing on data-driven insights to optimize supply chain operations. Leveraging analytics and visualization tools for effective decision making in a global technology company.

Posted 7/30/2026full-timeChicago • Tennessee • 🇺🇸 United StatesSenior💰 $116,380 - $143,740 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics and data visualization, utilizing tools like Power BI and SQL to drive supply chain insights and optimize operations. Proven ability to lead data-driven initiatives and develop analytical models that support strategic decision-making.

Highest-signal resume keywords

Advanced AnalyticsData VisualizationSQLPower BIData Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingStatistical ModelsKPI DevelopmentMachine LearningProgramming (R, Python)Process MappingAutomation ToolsData Warehouse ReportingExcelCelonis

Soft Skills

Business AcumenCross-Functional Collaboration

Tools & Technologies

Power BICelonisSnowflakeHANA VDMsPower PlatformSAP/S4

Industry Keywords

Supply ChainData AnalyticsApplied MathematicsEngineering

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Leverage advanced analytics and visualization tools (Power BI, Celonis) to translate complex data into actionable supply chain insights
Lead the development and deployment of analytical models to enable data-driven decision making across the end-to-end supply chain
Apply strong business acumen to optimize operations and guide supply chain analytics strategy and priorities
Analyze large datasets to identify optimization opportunities and develop scalable metrics, KPIs, and statistical models
Partner cross-functionally to build a robust data foundation using tools such as SQL, Snowflake, HANA VDMs, and Power BI
Lead end-to-end initiatives including process mapping, use case identification, and project execution to drive measurable business impact and automation

Requirements

What you’ll need

Bachelors degree in Supply Chain, Data Science, Data Analytics, Applied Mathematics, Engineering or related field
5+ years of business experience, including 5+ years 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/ability to learn new analytical and automation tools
Strong technical/analytic skills and experience in multiple platforms such as Excel, SAP/S4, Data Warehouse reporting, Celonis, Power BI, Power Platform, HANA VDMs, Snowflake
3+ years of experience using various programming languages (R, Python etc.) to develop and apply advanced cognitive or machine learning methods and algorithms to address Supply Chain and Business problems

Benefits

Comp & perks

Comprehensive benefits suite
401(k) and Profit Sharing plan
Eligibility for a target bonus