Supply Chain Advanced Analytics Data Scientist

About the role

Winning with consumers and the market, while prioritizing safety, mutual respect, and human dignity, is at the core of this role. You will be responsible for:

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

Responsibilities

To succeed in this role, you will need:

• A Bachelor's degree in Supply Chain, Data Science, Data Analytics, Applied Mathematics, Engineering, or a related field.
• At least 5 years of business experience, including 5+ years 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, 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.

Qualifications

• Required Qualifications: 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.
• Preferred Qualifications: 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.

Benefits

We offer a comprehensive benefits suite, including a 401(k) and Profit Sharing plan, and eligibility for a target bonus. For more details, visit www.mykcbenefits.com.