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Supply Chain Analytics Jobs in Oregon (NOW HIRING)

Performix

Supply Chain Analyst III

Tualatin, OR · On-site

Supply Chain Analyst III Location: Tualatin, OR 97062 Duration: 6 months (Contract on W2) Flow Controller" Shift\/Schedule: M\-F Onsite\- 8\/5 PM Terms: 6\-month Contract could end sooner due to ...

Teledyne FLIR LLC

Director of Supply Chain

Wilsonville, OR · On-site

$188K - $213K/yr

The Director of Supply Chain is responsible for developing and executing supply chain strategies ... Strong leadership, communication, negotiation, analytical, and problem-solving skills. * Experience ...

Teledyne

Director of Supply Chain

Wilsonville, OR · On-site

$188K - $213K/yr

The Director of Supply Chain is responsible for developing and executing supply chain strategies ... Strong leadership, communication, negotiation, analytical, and problem-solving skills. * Experience ...

Analog Devices

Analyst, Supply Chain Planning

Beaverton, OR · On-site

$68K - $94K/yr

Managing wafer starts execution in Analog Devices' fabs and foundry network through data analytics ... Being a power user of JDA's supply chain planner (SCP), factory planner (FP), inventory optimizer ...

Entegris

Manager, Supply Chain

Hillsboro, OR · On-site

Job Title: Manager, Supply Chain The Role: Our site in Hillsboro, OR, is seeking an energetic ... Develop and maintain leading and lagging performance metrics, conduct root cause analyses and ...

Entegris

Manager, Supply Chain

Hillsboro, OR · On-site

Job Title: Manager, Supply Chain The Role: Our site in Hillsboro,OR,isseeking an energetic ... Develop and maintain leading and lagging performance metrics, conduct root cause analyses and ...

Russell Tobin

Supply Chain Manager

Tualatin, OR · On-site

$65.25/hr

Analyze supply-chain trends, identify risks, and implement scalable and repeatable solutions. * Collaborate with internal and external stakeholders to ensure customer and business requirements are ...

J&J Snack Foods

Supply Chain Manager

Weston, OR · On-site

This position requires a hands-on, results-driven leader with strong analytical skills, sound operational judgment, and the ability to collaborate effectively across functions. Supply Chain ...

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Supply Chain Analytics information

See Oregon salary details

$13

$26

$46

How much do supply chain analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for supply chain analytics in Oregon is $26.59, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $30.00 per hour, depending on experience, location, and employer.

What is supply chain analytics?

Supply chain analytics is the process of collecting, analyzing, and interpreting data from various points in a supply chain to improve efficiency, reduce costs, and enhance decision-making. It uses advanced analytical methods and tools—including statistical analysis, predictive modeling, and data visualization—to identify trends, forecast demand, optimize inventory, and streamline logistics. By leveraging supply chain analytics, organizations can better anticipate disruptions, improve service levels, and gain a competitive advantage in the marketplace.

What are the key skills and qualifications needed to thrive as a supply chain analytics professional?

To thrive in Supply Chain Analytics, you need strong analytical skills, knowledge of supply chain processes, and typically a degree in supply chain management, statistics, or a related field. Proficiency in data analysis tools such as Excel, SQL, Python, and supply chain management systems (like SAP or Oracle) is commonly required, along with certifications like APICS CSCP. Excellent problem-solving abilities, attention to detail, and effective communication help professionals stand out in this role. These skills enable data-driven decision-making, process optimization, and seamless collaboration across supply chain functions, which are crucial for organizational efficiency and competitiveness.

How does a supply chain analytics professional typically contribute to cross-functional project teams?

Supply Chain Analytics professionals play a vital role in cross-functional teams by providing data-driven insights that inform key business decisions. They collaborate with procurement, operations, logistics, and IT departments to identify inefficiencies, forecast demand, and optimize inventory levels. Through regular reporting, visualization tools, and predictive modeling, they help teams align strategies and improve end-to-end supply chain performance. Effective communication skills are essential, as these professionals must translate complex data into actionable recommendations for stakeholders with varying technical backgrounds.

What is the difference between Supply Chain Analytics vs Supply Chain Coordinator?

AspectSupply Chain AnalyticsSupply Chain Coordinator
Required CredentialsBachelor's in Supply Chain, Logistics, or related field; often certifications in data analysis or logisticsBachelor's in Business, Logistics, or related field; relevant experience preferred
Work EnvironmentData analysis, reporting, and strategic planning in office settingsOperational coordination, communication with suppliers and teams, on-site or office-based
Employer & Industry UsageUsed across manufacturing, retail, and logistics companies for data-driven decision makingCommonly employed in supply chain operations, logistics, and distribution centers

Supply Chain Analytics focuses on analyzing data to optimize supply chain processes, while Supply Chain Coordinators handle day-to-day logistics and coordination tasks. Both roles are essential but differ in their focus—analytics emphasizes data insights, whereas coordinators manage operational execution.

How much do supply chain analysts earn?

Supply chain analysts typically earn a median annual salary of around $65,000 to $75,000, with entry-level positions starting lower and experienced analysts earning over $90,000. Salaries can vary based on location, industry, and level of experience, and proficiency in data analysis tools like Excel, SQL, or Tableau can influence compensation.

What do supply chain analytics do?

Supply chain analytics involves analyzing data related to procurement, inventory, logistics, and demand forecasting to improve supply chain efficiency. Professionals in this field use tools like Excel, SQL, and data visualization software to identify trends, optimize processes, and support decision-making in supply chain management.

What is the work of a supply chain analyst?

A supply chain analyst evaluates and improves supply chain processes by analyzing data related to inventory, logistics, and procurement. They use tools like Excel and supply chain management software to identify inefficiencies, forecast demand, and support decision-making to optimize overall supply chain performance.

What are the most commonly searched types of Supply Chain Analytics jobs in Oregon?

The most popular types of Supply Chain Analytics jobs in Oregon are:

What are popular job titles related to Supply Chain Analytics jobs in Oregon?

For Supply Chain Analytics jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Supply Chain Analytics jobs in Oregon look for?

The top searched job categories for Supply Chain Analytics jobs in Oregon are:

What cities in Oregon are hiring for Supply Chain Analytics jobs?

Cities in Oregon with the most Supply Chain Analytics job openings:

Supply Chain Analytics jobs near you
Infographic showing various Supply Chain Analytics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, 1% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $55,307 per year, or $26.6 per hour.

Principal Supply Chain Data Engineer & Analytics Lead

Bausch + Lomb

OR • On-site, Remote

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Bausch & Lomb rating

8.6

Company rating: 8.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

21st of 543 rated manufacturers

Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world-from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.
Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.
The Principal Supply Chain Data Engineer and Analytics Lead is a critical role responsible for building the data foundation, analytics capabilities, and insight-generation engine required to support Bausch + Lomb's supply chain transformation. This role will partner closely with to extract, connect, structure, analyze, and visualize complex supply chain data across enterprise systems.
This role is designed for a highly analytical, business-oriented data professional who can operate across both technical and commercial dimensions. The individual will help convert large volumes of fragmented operational data into actionable insights, predictive analytics, and decision-support tools that improve service, cost, quality, inventory, productivity, and end-to-end supply chain performance.
The successful candidate will bring strong data engineering and supply chain analytics capabilities, preferably with consulting experience or experience working in transformation-oriented environments. This role will support quantitative and commercial decision-making by developing reliable data pipelines, dashboards, analytical models, predictive tools, and AI-enabled insights that help identify opportunities, quantify value, and drive execution across the supply chain network.
Success in this role will be measured by the ability to improve data availability, accelerate insight generation, strengthen forecasting and operational decision support, improve analytics quality, and enable measurable business outcomes across logistics, planning, warehousing, inventory, and customer fulfillment processes.
Key responsibilities
  • Develop and maintain supply chain data models, pipelines, and data structures that enable consistent reporting, analytics, and decision support across logistics, planning, inventory, warehousing, and fulfillment processes.
  • Extract, transform, and integrate data from ERP, MRP, DRP, WMS, WCS, TMS, planning, finance, and other enterprise systems to create reliable analytical data sets.
  • Design and deliver dashboards, scorecards, visualization tools, and management reporting that translate complex data into clear business insights and recommended actions.
  • Analyze large, complex, and often fragmented data sets to identify patterns, root causes, risks, opportunities, and improvement levers across the end-to-end supply chain.
  • Develop predictive analytics, simulation tools, optimization models, and AI-enabled use cases that support service, cost, quality, inventory, and capacity decision-making.
  • Support opportunity funnel development by quantifying savings opportunities, operational impacts, customer service implications, and commercial trade-offs.
  • Create analytical tools that support decisions related to network performance, warehouse productivity, transportation cost, inventory positioning, demand and supply variability, and service performance.
  • Translate technical analysis into executive-ready insights, business cases, and recommendations that support transformation governance and leadership decision-making.
  • Collaborate with IT and data architecture teams to improve data accessibility, governance, automation, scalability, and long-term sustainability of analytics solutions.
  • Contribute to continuous improvement by identifying opportunities to simplify, standardize, automate, and scale supply chain analytics and reporting processes.

Requirements:
  • Bachelor's degree in supply chain management, Engineering, Data Science, Computer Science, Information Systems, Business Analytics, Operations Research, Finance, or a related discipline.
  • 5+ years of progressive experience in supply chain analytics, data engineering, business intelligence, operations analytics, consulting, or a related field.
  • Demonstrated ability to work with complex operational data and convert large data sets into business insights, decision-support tools, and executable recommendations.
  • Experience extracting, transforming, validating, and analyzing data from ERP systems and other supply chain platforms.
  • Strong understanding of end-to-end supply chain processes, including demand planning, supply planning, MRP, DRP, warehousing, distribution, transportation, inventory, and customer fulfillment.
  • Strong analytical, quantitative, and problem-solving skills with the ability to conduct commercial and operational decision-making analysis.
  • Ability to partner effectively with various functions
  • Strong communication skills with the ability to explain complex data, models, assumptions, and insights to technical and non-technical audiences.
  • Ability to manage multiple priorities, work through ambiguity, and deliver high-quality analytics in a fast-paced transformation environment.

Specialized Training & Skills:
  • Advanced capability with SQL, Python, R, Alteryx, Power Query, or similar data extraction, transformation, and analytics tools.
  • Strong visualization and dashboard development experience using Power BI, Tableau, Qlik, or comparable business intelligence platforms.
  • Knowledge of ERP systems and supply chain data structures, including master data, transactions, inventory, orders, production, procurement, warehousing, and logistics data.
  • Experience building predictive models, forecasting tools, optimization models, simulation analyses, machine learning use cases, or AI-enabled decision-support solutions.
  • Ability to connect operational performance metrics with financial and commercial implications, including cost, margin, service, inventory, productivity, and working capital impacts.
  • Strong data quality, data governance, data validation, and data storytelling capabilities.
  • Experience documenting business requirements, data logic, metric definitions, assumptions, and model outputs for repeatable use across stakeholders.
  • Familiarity with Lean Six Sigma, structured problem solving, process mapping, or consulting-style analytics frameworks preferred.

Preferred Skills and Experience:
  • Experience with a consulting firm, internal consulting group, transformation office, supply chain excellence team, or advanced analytics organization.
  • Experience in medical device, pharmaceutical, healthcare, consumer health, manufacturing, or other regulated supply chain environments.
  • Experience supporting logistics transformation, warehouse optimization, inventory analytics, planning improvement, network analysis, or service-cost-quality improvement initiatives.
  • Working knowledge of SAP, Oracle, Kinaxis, Blue Yonder, Manhattan, HighJump/Korber, SAP EWM, Dematic, or other ERP, planning, WMS, WCS, or supply chain execution platforms.
  • Certification or advanced training in data analytics, data engineering, supply chain management, Lean Six Sigma, APICS CPIM/CSCP, project management, or AI/ML preferred.

This position may be available in the following location(s): U.S. - Remote
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
For U.S. locations that require disclosure of compensation, the starting pay for this role is between $145,000.00 and $165,000.00. The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.
U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.
Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.
To learn more please read Bausch + Lomb's Job Offer Fraud Statement.
Our Benefit Programs: Employee Benefits: Bausch + Lomb
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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About Bausch & Lomb

Sourced by ZipRecruiter

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world--from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better. Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our nearly 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 12,500 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Bridgewater, NJ, US

Year founded

1853

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