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. Job responsibilities include:
- 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 or Advanced degree in Logistics, Supply Chain, Engineering, Computer Science, Data Science 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.
- 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.
- 3+ years of cross-functional Supply Chain Customer Service, Distribution or Planning experience.
- 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.
Led by Purpose. Driven by You.
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 www.mykcbenefits.com.
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 careers website.
And finally, the fine print….
For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompasses the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.
The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.
Employment is subject to verification of pre-screening tests which may include drug screening, background check, and DMV check.
Veterans and members of the Reserve and Guard are highly encouraged to apply.
This role is available for local candidates already authorized to work in the role’s country only. Kimberly-Clark will not provide relocation support for this role.
Employment is subject to verification of local policies.
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 1Additional LocationsChicago Commercial Center, IT Centre Bengaluru GDTC, Knoxville Office, Pune Kharadi Hub, Roswell Building 400Worker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time
