Analytics Lead - Manufacturing

Kimberly-Clark

Neenah, WI, USA
Base: 105,740 – 130,620 usd; bonus/equity: eligibi...
Data & analytics product features
Define and prioritize features
User stories and acceptance criteria
Collaborate with the Product Manager and Supply Chain Intelligence leads to define and prioritize data & analytics product features in alignment with product vision, global roadmap, objectives and key results (OKRs), and business value

Job Summary

  • Collaborate with the Product Manager and Supply Chain Intelligence leads to define and prioritize data & analytics product features in alignment with product vision, global roadmap, objectives and key results (OKRs), and business value.
  • Lead sprint reviews, retrospectives, and discovery/design sessions to drive continuous improvement and maximize team performance.
  • Great support for good health with medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions.

Matching Summary

Collaborate with the Product Manager and Supply Chain Intelligence leads to define and prioritize data & analytics product features in alignment with product vision, global roadmap, objectives and key results (OKRs), and business value.

Salary

Base: 105,740 – 130,620 USD; Bonus/Equity: eligibility for a target bonus; Benefits: comprehensive benefits suite, 401(k) and Profit Sharing plan

Skills & Requirements

Must-have

  • data & analytics product features
  • define and prioritize features
  • user stories and acceptance criteria
  • facilitating backlog grooming
  • sprint planning and release planning
  • stakeholders across regions
  • lead sprint reviews
  • coordinate release alignment

Nice-to-have

  • performance culture
  • sustainability, inclusion, wellbeing
  • career development
  • winning with consumers
  • mutual respect, human dignity
  • original thinking

Key Requirements

  • Bachelor’s degree or equivalent
  • 5+ years of experience
  • integrated Supply Chain programs
  • functional manufacturing areas
  • translate business needs into requirements
  • Strong analytical and problem-solving abilities
  • Certified Scrum Product Owner
  • Experience with BI tools
  • Training related to OKRs
  • Fluency in English

Work Rights

Not specified

Tailored Resume

Cover Letter