Supply Chain Advanced Analytics Data Scientist

Kimberly-Clark•Atlanta, GA

6d•$105,740 - $130,620•Hybrid

About The Position

Supply Chain Advanced Analytics Data Scientist Job Description You were made to create Better Care for a Better World: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. Here, you’ll work in an environment that promotes sustainability, inclusion, wellbeing, and career development while you help us deliver better care for billions of people around the world. It starts with YOU. About You In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. In this role, you will: 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

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.
Demonstrated leadership in executing innovative, technology-driven solutions through strategic problem-solving, cross-functional collaboration, and strong analytical thinking.
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.

Nice To Haves

MBA or MS in Engineering, Data Science, Analytics or related field.
Experience with relational database structure and design, SQL, or Snowflake.
Experience in analytics or data science roles supporting Supply Chain organizations, with a demonstrated ability to leverage data, visualization tools, and advanced analytical methods to drive business outcomes.
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.
Exceptional communication skills, with ability to simplify complex concepts for ease of understanding.
Good facilitation and presentation skills, including training delivery.
Ability to mentor Data Analysts and other team members in established best practices.

Responsibilities

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.