Our client, a leading athletic footwear and apparel manufacturing company, is looking for a Supply Chain Analyst 3. This is for an initial duration of 12 months and is located at Beaverton, OR.
Job Title: Supply Chain Analyst 3 Reference ID: 26-05169 Location: Beaverton, OR. Duration: 12 months Job Type: Contract (Candidates must be able to work on W2 without VISA sponsorship)
Materials Planning Operations Lead
Desired Candidate Profile:
Minimum required years of experience: 5+ YOE Data Analyst with Supply chain experience
Education requirements: Bachelor's degree or equivalent experience
Must have skills:
Reporting for Supply chain materials planning
Excel
Comfortable taking business processes and leading improvement initiatives
Nice to have skills:
Understands SQL and Databricks, can tell if Ai is hallucinating dashboards/reports
Independent working, ambiguous environment,
Software/technical requirements:
Using Ai tools to make dashboards and reports
Who You'll Work With:
As the Materials Planning Operations Lead, this role reports to the Manager, Materials Operations Excellence and serves as the senior analytical and technical leader for the materials organization. You will set direction for reporting, automation, and data products while partnering with Materials Planning leadership and IC community as a trusted advisor on how to scale insight and execution.
You will collaborate across Supply Chain, Technology, and Operations to define standards, prioritize the roadmap, and deliver enterprise-grade reporting solutions, intelligent automation, and process transformation that drive measurable efficiency and business impact at scale.
Who We Are Looking For:
The Materials Planning Operations Lead owns the vision and delivery of scalable tools, automated workflows, and executive-ready reporting for global materials sourcing and planning functions. You combine deep technical fluency in modern data platforms and AI-assisted development with a continuous improvement mindset, strong product thinking, and the ability to influence senior stakeholders through clarity, rigor, and compelling narrative.
Qualifications:
Bachelor's or Master's degree in Business, Data Science, Supply Chain, Engineering, or a related field; will accept any suitable combination of education, experience, and training
Minimum of 5+ years of experience in data analytics, analytics engineering, process improvement, or supply chain operations, with demonstrated lead or senior IC scope (owning roadmaps, standards, or cross-team initiatives)
Expert-level proficiency in SQL for data querying, manipulation, and pipeline development; strong Python for automation, data modeling, and application logic
Hands-on experience building and operating production analytics experiences in Databricks, including Databricks Apps for interactive reporting, operational dashboards, and stakeholder-facing tools
Proven ability to use AI-powered development environments (including Cursor and GitHub Copilot) to design, build, and maintain business automation, analytical pipelines, and world-class reporting with high velocity and quality; you treat AI-assisted engineering as a core competency, not a novelty
Comfort working in Git-based collaboration (e.g., GitHub) for version control, code review, and repeatable deployment of analytics and automation assets
Track record of translating complex, multi-dimensional supply chain data into clear, actionable narratives and leadership-ready materials for both technical and non-technical audiences
Experience leading process improvement or transformation initiatives end-to-end: discovery, design, implementation, change management, and adoption measurement
Experience in materials planning, strategic sourcing, or supply chain analytics is strongly preferred
What You Will Work On:
As the Materials Planning Operations Lead, you will be the conduit between enterprise data, automated execution, and meaningful business action. You will define how Materials Sourcing and Planning teams see performance, run operations, and scale capability.
You will set the reporting and automation strategy for Materials Operations Excellence: prioritize the backlog, establish standards for data quality, documentation, and reusable patterns, and align deliverables to Materials Planning leadership priorities.
You will design, build, and operate world-class reporting and decision-support experiences using Databricks Apps and related platform capabilities—delivering real-time visibility into KPIs, trends, scenarios, and performance opportunities with a product-minded focus on usability and adoption.
You will architect and automate end-to-end data workflows that reduce manual effort, improve reliability, and increase speed-to-insight across the materials organization; own critical pipelines from requirements through production support.
You will leverage SQL, Python, and Databricks to query, transform, and model large-scale supply chain datasets, enabling scalable, governed, and repeatable analytics.
You will lead with AI-assisted development: use Cursor and GitHub Copilot to rapidly prototype, harden, and maintain automation (scheduled jobs, integrations, self-service tools, and reporting logic), raising the bar for code quality, testing discipline, and maintainability across the team's deliverables.
You will identify, design, and lead high-impact process improvement initiatives in partnership with Materials Planning stakeholders—translating operational pain points into durable technical solutions and measurable outcomes.
You will craft executive-ready data stories for senior leadership, applying best-in-class visualization, narrative structure, and decision framing to drive alignment and action.
You will serve as the senior subject matter expert for the Materials Operations Excellence toolset—owning technical standards, documentation, and delivery of modern analytics, automation, and AI-assisted engineering solutions for sourcing and planning.
Interested and Qualified candidates, please send your most recently updated word document resume to
Jaffer.s@sunrisesys.com
.
Numbers & Facts
Location
Beaverton, OR
Industry
Staffing/Employment Agencies
Company Size
100 to 499 employees
Year Founded
1990
Website
http://www.sunrisesys.com/
About Company
Sunrise Systems was founded in 1990 with a clear vision to deliver world-class staffing service solutions in all labor categories, including IT consulting and solutions; all with the commitment to provide service that exceeds expectations and become the most trusted name in the industry. More than two and a half decades later, we pride ourselves on being at the forefront of the staffing industry. Combining our deep industry expertise, insights, and global resources, we have partnered with our clients to connect them with top professionals across several different industries.
We provide cost-effective Managed Staffing Solutions, Information Technology and Information Technology Consulting Services to several Fortune 500 companies and U.S. Government agencies. We provide our clients with flexible engagement models and customized products that are budget and time specific. Understanding the challenges that every business faces, we offer our services either on-site at the clients' site or from one of our globally distributed technology centers. Our onshore and offshore development capabilities ensure that we excel at meeting customer requirements every single time.
Our collective business experience spans over two and a half decades and ranges from:
Business, management, and technical fields
Information technology consulting and software solutions.
Providing strategic support for the development and long-term growth of new business ventures across several industries including but not limited to; accounting, banking, finance, and recruitment.
Motivating technology staff and establishing partnerships with Fortune 500 companies
Sunrise Systems has a vast range of competence in:
Design, development, and support of cloud-based solutions from simple to highly complexed
Database administration of multi-platform applications, complex databases, and web-based environments that include all aspects of installation, planning, maintenance, and monitoring.
Data processing and data migration
Application re-engineering and platform migration
Working with the Information Systems and end-user communities at all levels to resolve issues and establish consensus.