Position Details: Job Title: Lead Data BSA – Enterprise Data and Analytics Location: Hillsboro, OR Duration: 12 Months Industry: Retail Job Description: Responsibilities:
We are seeking a high performing Lead Data BSA to play a key role in the development of transactional 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 organization’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.
Proven ability to sift through data, identify critical information, analyze, and develop solution options
In this role, you will be responsible for designing innovative, high quality, cloud-based analytics solutions, and capabilities in support of the supply chain.
Work directly with customers and team members to capture details of epic and story requirements, understand use cases, collect samples, and create tests; apply knowledge of Product and business drivers to enhance work
Qualifications:
5-7 years of analytics solution development or product ownership and technology experience
Ability to define source to target mapping, functional specifications and other documentation
Understanding of the Agile principles and methodologies and how they’re applied in workplace culture
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
Ability to solve complex problems and take a new perspective on existing solutions
Strong presentation, written, and verbal communication skills
Self-directed and comfortable working in ambiguous environments
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