Supply Chain Advanced Analytics Data Scientist
Job DescriptionIn 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.
To succeed in this role, you will need the following 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.
Total Benefits
We believe that our employees are our greatest asset, and we're committed to providing them with the resources they need to be successful. If you're looking for a rewarding career with a company that cares about its employees, then Kimberly-Clark is the place for you.
Here are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark. For a complete overview, see .
To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.
In the meantime, please check out the .
Salary Range: 105,740 – 130,620 USD At Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.
Primary LocationNeenah - West Office Facility 1
Additional LocationsChicago Commercial Center, Knoxville Office, Pune Kharadi Hub, Roswell Building 300, Sao Paulo Office
Worker TypeEmployee
Worker Sub-TypeRegular
Time TypeFull time
