Mid Level Supply Chain Analytics Jobs
Mid level supply chain analytics jobs go to analysts ready to own projects end to end, translate complex data into decisions, and guide junior team members without constant oversight. Roles run across on-site, hybrid, and remote settings in Retail, Manufacturing, and Human Resources, with employers like JND, Ulta, and Xylem hiring at this level now.
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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.
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Lead the development and deployment of analytical models to enable data-driven decision making across the end-to-end supply chain.
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Apply strong business acumen to optimize operations and guide supply chain analytics strategy and priorities.
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Analyze large datasets to identify optimization opportunities and develop scalable metrics, KPIs, and statistical models.
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Partner cross-functionally to build a robust data foundation using tools such as SQL, Snowflake, HANA VDMs, and Power BI.
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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.
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5+ years of business experience , including 5 + years working experience in data science, analytics and/or data modeling.
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Advanced analytics, data visualization, and reporting dashboard design and development experience.
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Knowledge of or willingness / ability to learn new analytical and automation tools.
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Demonstrated leadership in executing innovative, technology-driven solutions through strategic problem-solving, cross-functional collaboration, and strong analytical thinking.
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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.
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Experience with relational database structure and design, SQL, or Snowflake.
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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.
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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.
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Exceptional communication skills, with ability to simplify complex concepts for ease of understanding.
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Good facilitation and presentation skills, including training delivery.
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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.
PRIMARY LOCATION
Sao Paulo Office
ADDITIONAL LOCATION
Chicago Commercial Center; Knoxville Office; Neenah - West Office Facility 1; Pune Kharadi Hub; Roswell Building 300
WORKER TYPE
Employee
WORKER SUB-TYPE
Regular
JOB TYPE
Full time
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Who's Hiring



Top Industries Hiring
- Retail
- Manufacturing
- Human Resources
- Medical Devices
Mid Level Supply Chain Analytics Jobs: Frequently Asked Questions
How do I get a mid level supply chain analytics job?
Position yourself around ownership and impact, not just task completion. Highlight projects where you drove a forecast improvement, reduced inventory costs, or built a dashboard that changed a business decision. Employers at this level want analysts who can frame a problem, execute the analysis, and communicate results to non-technical stakeholders, so tailor your resume and cover letter to show that full cycle.
Which companies hire mid level supply chain analyticss?
Companies hiring mid level supply chain analyticss right now include JND, Ulta, and Xylem, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers large manufacturers and retailers managing complex global networks as well as fast-growing consumer brands building out their analytics functions for the first time.
Are there remote mid level supply chain analytics jobs?
Yes, though availability varies by employer and role type. About 33% of mid level supply chain analytics openings are remote or hybrid as of August 2026, with hybrid arrangements most common at companies that use on-site ERP or warehouse management systems alongside cloud-based analytics platforms.
How do I move up to a mid level supply chain analytics role?
The path from entry level to mid level comes from deepening technical skills, building a portfolio of measurable results, and progressively owning larger pieces of work. Focus on advancing your proficiency in SQL, Python, or tools like Tableau and Power BI, while volunteering for projects that touch forecasting, inventory optimization, or network design. Consistent, documented impact over time is what makes the difference.
Which industries hire the most mid level supply chain analyticss?
Mid Level supply chain analytics roles concentrate in Retail, Manufacturing, and Human Resources, based on current listings on Migrate Mate as of August 2026. These sectors drive the strongest demand because they operate high-volume, time-sensitive supply networks where analytical decisions around inventory, logistics, and supplier performance directly affect margins.