Materials Operations Analyst

Beaverton, OR, US • Posted 16 hours ago • Updated 11 hours ago
Contract W2
6 Months
No Travel Required
On-site
Depends on Experience
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Fitment

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Job Details

Skills

  • Analytical Skill
  • Dashboard
  • Data Analysis
  • Data Skills
  • Data Visualization
  • SQL
  • Python
  • Supply Chain Management
  • Visualization
  • Tableau

Summary

Need local candidates only

This position is onsite WHQ for the hybrid work schedule

  •  
  • This is a level 1 position, so they’re looking for 1-3 YOE
  •  
  • 1-2 years’ experience required in an analyst role 
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  • Top must-have skills include the following: 
    • Tableau experience (data visualization) 
    • SQL proficiency (querying, small manipulations) 
    • Ability to tell a story through data
    •  
  • Skills that would make a candidate stand out: 
    • Proficient in Cursor (experience building things with the tool) 
    • Previous supply chain experience
    • ETW will be expected to help manage pre-made Alteryx code and build dashboards/other Tableau tools
  • Minimum of 1+ year of experience in data analytics, process improvement, or supply chain operations
  • Proficiency in SQL for data querying, manipulation, and pipeline development
  • Experience with Alteryx for data blending, workflow automation, and self-service analytics
  • Experience building and maintaining dashboards and visualizations in Tableau
  • Familiarity with Databricks for scalable data engineering and Apache Airflow for workflow orchestration
  • Demonstrated experience leveraging AI-powered development tools (e.g., Cursor or similar) to accelerate analytical output and improve code quality
  • Strong ability to translate complex, multi-dimensional data into clear, actionable narratives for both technical and non-technical audiences
  • Experience in materials planning, strategic sourcing, or supply chain analytics is preferred

 

  • You will design, build, and maintain Tableau dashboards and reporting solutions that give Materials Sourcing and Planning teams real-time visibility into KPIs, trends, and performance opportunities.
  • You will develop and automate data workflows, reducing manual effort and increasing speed-to-insight across the materials organization.
  • You will leverage SQL, Python, Databricks to query, transform, and model large-scale supply chain datasets, enabling scalable and repeatable analytics.
  • You will actively use AI-powered tools such as Cursor and GitHub Copilot to accelerate development, prototype new solutions, and drive a culture of innovation within the team.
  • You will identify, design, and lead process improvement initiatives in partnership with Materials Sourcing and Planning stakeholders to streamline operations, reduce friction, and eliminate inefficiencies.
  • You will craft compelling data stories for senior leadership, applying best-in-class visualization and communication practices to turn analysis into action and alignment.
  • You will serve as a subject matter expert on the Materials Operations Excellence toolset, training and enabling partners across sourcing and planning to adopt new capabilities and ways of working.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111826
  • Position Id: 9023672
  • Posted 16 hours ago

Company Info

About Ohm Systems, Inc

Ohm Systems, Inc. specializes in IT and Healthcare staffing services, dedicated to linking highly skilled professionals with our public and private clients across the United States. Our track record showcases our commitment to delivering outstanding staffing and consultancy solutions to our clients. We prioritize diversity and inclusivity and take pride in being an employer that promotes equal opportunities and affirmative action. Our goal is to foster an inclusive work environment that embraces individuals from all backgrounds, irrespective of their gender, race, or orientation.

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