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Position Details: Lead Data BSA - 1180943Z

Location: Beaverton, OR
Openings: 2
Job Number:



Lead Data BSA – Enterprise Data and Analytics


  • We are seeking a high performing Lead Data BSA to play a key role in the development of transcational data products
  • You will work with a variety of talented teammates including data engineers with a focus on the design and development of new solutions and capabilities for Client’s supply chain analytics and data platforms.
  • The successful candidate is a problem solver with excellent business acumen, knowledge and understanding of enterprise data and analytics systems, with hands-on coding skills.
  • In this role, you will be responsible for designing innovative, high quality, cloud based analytics solutions and capabilities in support of the supply chain.
  • You’ll work with key partners to define Features and Epics, and with consumers of the data to understand their current and future needs.
  • You’ll also collaborate with Product Owners to optimize Feature delivery to data consumers


  • 7 years of analytics solution development or product ownership and technology experience
  • Business process acumen and ability to map process to a technology analytics solution
  • At least two full process lifecycle experience like Order to Cash, Procure to Pay etc. in an analytics capacity
  • Ability to define source to target mapping, functional specifications and other documentation
  • Understanding of agile principles and the scrum development process
  • Experience working as a member of a larger cross-functional Agile team. Design and implement features in collaboration with product owners, business partners and engineers using Agile / Scrum methodology
  • Excellent problem-solving and interpersonal communication skills
  • Proven ability to deliver on commitments
  • Comfortable working in a fast-paced, results-oriented environment

Preferred if you have:

  • 4+ years of experience in SAP preferred
  • Understanding of supply chain industry standards in the analytics area
  • Experience with analytics and data engineering best practices
  • Ability to influence outcomes across highly aligned, loosely coupled solutions
  • Experience working in a distributed / cloud scalable environment particularly AWS
  • Familiarity with cloud based data and analytics tools, services, warehouses
  • Ability to define solution options, provide estimates on effort and risk, and evaluate technical feasibility

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