Job description

CV Resources is partnering with a growing manufacturing & distribution client in Portland to identify a Supply Chain Data Analyst for a contract opportunity supporting key data initiatives, system implementation, and digital transformation projects. Position: Supply Chain Data Analyst Location: Portland, OR (Onsite, with some hybrid flexibility) Schedule: Part-time, approximately 25–30 hours per week Duration: Contract, estimated 2–4 months Position Overview Our client is seeking a highly analytical, detail-oriented professional who combines strong data analytics capabilities with a solid understanding of supply chain operations and enterprise resource planning (ERP) systems. This individual will play a key role in supporting a new CRM implementation and a comprehensive website redesign, ensuring data accuracy, consistency, and alignment across systems and departments. The ideal candidate will be comfortable working with complex datasets, maintaining master data, and collaborating with technical teams and business leaders to support data integrity and system integration initiatives. Key Responsibilities • Analyze, validate, and organize supply chain data to ensure accuracy, consistency, and integrity across business systems. • Review, maintain, and optimize master data lists and related datasets. • Support CRM implementation and website redesign initiatives, with a focus on data readiness, structure, and alignment across platforms. • Collaborate with ERP support teams, external website development partners, and cross-functional department leaders to coordinate data requirements and resolve discrepancies. • Identify data quality issues, investigate inconsistencies, and recommend solutions to improve data accuracy and reliability. • Translate business needs into clear data requirements and communicate technical information effectively to various stakeholders. • Assist with data mapping, validation, and coordination between ERP, CRM, and other business systems. • Provide ongoing communication and project support to keep data-related initiatives organized and moving forward. Qualifications • Experience in data analytics, data management, or a similar analytical role within a supply chain, manufacturing, or distribution environment. • Hands-on exposure to a large ERP system, ideally Sage X3 or a comparable enterprise platform. • Strong understanding of supply chain data, master data management, and data integrity principles. • Experience supporting system implementations, data migrations, integrations, or website/CRM-related data initiatives is highly desirable. • Exceptional attention to detail and the ability to work confidently with large, complex datasets. • Strong communication and collaboration skills, with the ability to coordinate across technical teams, external partners, and business stakeholders. • Highly organized, proactive, and comfortable working independently in a dynamic project environment. Additional Details • This is a part-time contract engagement with an estimated duration of 2–4 months. • The role is primarily onsite in Southeast Portland, with some hybrid flexibility available for the right candidate. • The anticipated start date is flexible for an exceptional candidate, with a preference for early next year. Why This Opportunity? This is an opportunity to contribute directly to important systems and digital initiatives while working across supply chain, technology, and business operations. The ideal candidate will bring a unique blend of analytical expertise, ERP familiarity, and strong communication skills to help ensure successful data alignment across multiple platforms.

Requirements

Must-haves

Position: Supply Chain Data Analyst
Location: Portland, OR (Onsite, with some hybrid flexibility)
Schedule: Part-time, approximately 25–30 hours per week
Duration: Contract, estimated 2–4 months
Position Overview
The ideal candidate will be comfortable working with complex datasets, maintaining master data, and collaborating with technical teams and business leaders to support data integrity and system integration initiatives.
Analyze, validate, and organize supply chain data to ensure accuracy, consistency, and integrity across business systems.
Review, maintain, and optimize master data lists and related datasets.
Support CRM implementation and website redesign initiatives, with a focus on data readiness, structure, and alignment across platforms.
Collaborate with ERP support teams, external website development partners, and cross-functional department leaders to coordinate data requirements and resolve discrepancies.
Identify data quality issues, investigate inconsistencies, and recommend solutions to improve data accuracy and reliability.
Translate business needs into clear data requirements and communicate technical information effectively to various stakeholders.
Assist with data mapping, validation, and coordination between ERP, CRM, and other business systems.
Provide ongoing communication and project support to keep data-related initiatives organized and moving forward.
Experience in data analytics, data management, or a similar analytical role within a supply chain, manufacturing, or distribution environment.
Hands-on exposure to a large ERP system, ideally Sage X3 or a comparable enterprise platform.
Strong understanding of supply chain data, master data management, and data integrity principles.
Experience supporting system implementations, data migrations, integrations, or website/CRM-related data initiatives is highly desirable.
Exceptional attention to detail and the ability to work confidently with large, complex datasets.
Strong communication and collaboration skills, with the ability to coordinate across technical teams, external partners, and business stakeholders.
Highly organized, proactive, and comfortable working independently in a dynamic project environment.
Additional Details
This is a part-time contract engagement with an estimated duration of 2–4 months.
The role is primarily onsite in Southeast Portland, with some hybrid flexibility available for the right candidate.

Nice-to-haves

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Application prep

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