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Logistic Data Analyst Jobs in Remote, OR (NOW HIRING)

Circle Logistics

Senior Business Development Mgr.

OR · Remote

Company Description Circle Logistics is a third-party logistics (3PL) firm focused on delivering ... Strong analytical skills with the ability to interpret data, identify trends, and make data-driven ...

Circle Logistics

Senior Business Development Mgr.

OR · On-site +1

Company Description Circle Logistics is a third-party logistics (3PL) firm focused on delivering ... Strong analytical skills with the ability to interpret data, identify trends, and make data-driven ...

SBDM

Senior Business Development Mgr.

OR · Remote

Company Description Circle Logistics is a third-party logistics (3PL) firm focused on delivering ... Strong analytical skills with the ability to interpret data, identify trends, and make data-driven ...

Bausch + Lomb

Director, Supply Chain Strategy & Excellence

OR · On-site +1

$170K - $193K/yr

Analyze large and complex data sets across transportation, warehousing, inventory, customer service ... Experience leading logistics network transformation, distribution center optimization ...

Bausch + Lomb

Manager, E-Commerce Channel - US Vision Care

OR · On-site +1

$142K - $143K/yr

... data into actions that improve growth and profitability * Conduct competitive and market analysis ... Lead resolution of operational issues, including chargebacks, logistics challenges, and compliance ...

Koerber

Systems Architect I

OR · Remote

$248K/yr

You will partner with clients to define system requirements, analyze data, and deliver solutions ... Logistics team based in Irving, Texas, USA. This full-time, exempt position offers a hybrid work ...

All JobsLogistic Data Analyst JobsLogistic Data Analyst Jobs in Remote, OR

Logistic Data Analyst information

See Remote, OR salary details

$14

$28

$50

How much do logistic data analyst jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for logistic data analyst in Remote, OR is $28.63, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.37 per hour, depending on experience, location, and employer.

What is a logistic data analyst?

Logistic Data Analysts are professionals who collect, analyze, and interpret data related to supply chain and logistics operations. They use statistical and analytical tools to improve efficiency, reduce costs, and enhance decision-making in transportation, warehousing, and inventory management. Their work often involves creating reports, forecasting trends, and identifying bottlenecks or opportunities for process improvement. Logistic Data Analysts play a crucial role in helping organizations optimize their logistics strategies and maintain a competitive edge.

How does a logistic data analyst typically collaborate with other departments within a company?

A Logistic Data Analyst frequently works cross-functionally, partnering with teams such as supply chain, procurement, operations, and IT. They gather input from these groups to ensure accurate data collection and understand business requirements, which helps them create actionable insights. Regular meetings and data-sharing sessions are common, as analysts must align their recommendations with real-world logistics challenges and strategic goals. This collaborative environment not only broadens their impact across the organization but also enhances opportunities for professional growth and learning.

What are the key skills and qualifications needed to thrive as a logistic data analyst, and why are they important?

To thrive as a Logistic Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in supply chain management or logistics, often supported by a relevant degree. Familiarity with data analytics tools like SQL, Excel, Python, and logistics management systems (such as SAP or Oracle) is typically required, along with certifications like CLTD (Certified in Logistics, Transportation and Distribution) being advantageous. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications enable analysts to optimize supply chain processes, drive efficiency, and support data-driven decision-making within logistics operations.

What is the difference between Logistic Data Analyst vs Supply Chain Analyst?

AspectLogistic Data AnalystSupply Chain Analyst
CredentialsDegree in logistics, supply chain, or related field; data analysis certificationsDegree in supply chain management, logistics, or business; data analysis certifications
Work EnvironmentLogistics companies, transportation firms, warehousesManufacturers, retailers, distribution centers
Employer & Industry UsageFocuses on transportation, freight, and logistics operationsOversees entire supply chain processes including procurement and distribution

While both roles involve data analysis within logistics and supply chain contexts, Logistic Data Analysts primarily focus on transportation and freight data, whereas Supply Chain Analysts oversee broader supply chain processes. The roles often overlap but differ in scope and specific responsibilities.

Are logistics data analysts in high demand?

Logistics data analysts are in high demand due to the increasing need for efficient supply chain management and data-driven decision making. Employers seek professionals skilled in data analysis, logistics software, and supply chain processes to optimize operations and reduce costs.

What degree do you need to be a logistic data analyst?

A logistic data analyst typically needs at least a bachelor's degree in fields such as logistics, supply chain management, data analysis, statistics, or business administration. Strong skills in data analysis tools like Excel, SQL, or Python are also important, and some roles may prefer or require a master's degree or relevant certifications.

What is the average salary for a logistic data analyst?

The average salary for a logistics data analyst typically ranges from $55,000 to $80,000 annually, depending on experience, location, and industry. Professionals in this role often use data analysis tools like Excel, SQL, and Tableau to optimize supply chain operations.
Logistic Data Analyst jobs near you
Infographic showing various Logistic Data Analyst job openings in Remote, OR as of September 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $59,556 per year, or $28.6 per hour.

Principal Supply Chain Data Engineer & Analytics Lead

OR • On-site, Remote

Bausch + Lomb
Medical Equipment and Supplies Manufacturing • 10K+ employees
Learn more about Bausch + Lombexternal

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Bausch & Lomb rating

8.6

Company rating: 8.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

23rd of 547 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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