Kimberly-Clark is looking to leverage advanced data science and analytics to optimize complex operational processes within their End-to-End Supply Chain, driving innovation, improving decision-making, and ultimately enhancing business performance and lives.
Requirements
- Advanced analytics, data visualization, and reporting dashboard design and development experience.
- 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.
- Experience with relational database structure and design, SQL, or 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.
- Knowledge of or willingness / ability to learn new analytical and automation tools.
Responsibilities
- Leverage advanced functional and technical expertise to identify insights and bring to life solutions using visualization tools like Power BI and Celonis.
- Lead analytical model development, evaluation, and deployment to support operational decision making across KCNA End-to-End Supply Chain.
- Actively explore large data sets for supply chain optimization and develop statistical models, metrics, and KPIs.
- Partner with key Supply Chain teams, DTS Analytics team and vendors to enable a robust data foundation utilizing tools like SQL, Celonis, Power BI, HANA VDMs and Snowflake.
- Facilitate process-mapping discussion to identify and action current to future state process improvements and automation capabilities.
- Identify potential analytics use cases, evaluate their feasibility and quantify potential future business impact.
- Create useful and appropriate visualizations tailored for the intended audiences that are easy to interpret and drive data adoption to monitor business performance.
Other
- Use strong business acumen to optimize complex operational processes and guide Supply Chain Operating Office on analytics strategy.
- Utilize strong project management knowledge to develop and lead projects including timeline management, risk assessment plans, and action item management to ensure delivered results.
- Build strong sustainable business relationships at various levels throughout the organization and key customers.
- Demonstrated leadership in executing innovative solutions through process and technology.
- Demonstrated experience in strategic problem-solving, cross-functional collaboration, analytical thinking and influence.
