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Data Analyst Logistics Jobs in Oregon (NOW HIRING)

Collaborate with logistics, procurement, and supplier teams to address order or system issues ... Strong proficiency in Excel and other data tools for tracking and analysis * Strong knowledge of ...

Staff Product Analyst, Care - FuzeRx

OR · On-site +1

$61K - $81K/yr

Data Modeling & Analytics: Design and build scalable data models that improve access to insights ... Experience supporting supply chain optimization, logistics, or marketplace operations.

Everyone's contribution drives us to be the world's #1 logistics company. Certified as a Great ... Analyze customer and product data to generate insights, measure performance, identify opportunities ...

Financial Analyst

Lake Oswego, OR · On-site

$78K - $107K/yr

Logistics: Location: Westminster, CO/Lake Oswego, OR (In Office) Travel Requirement: 10% Why You'll ... Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce ...

... data. * Consolidates findings from analyses into written reports and provides consolidated ... Develops new or innovative approaches to evaluate the process and explore logistics solutions.

... data. * Consolidates findings from analyses into written reports and provides consolidated ... Develops new or innovative approaches to evaluate the process and explore logistics solutions.

... data. * Consolidates findings from analyses into written reports and provides consolidated ... Develops new or innovative approaches to evaluate the process and explore logistics solutions.

Strong financial and analytical skills; able to build cost models and make data-driven trade-offs ... Experience building a logistics network from early-stage growth through national scale * Experience ...

Perform data entry of daily information into Capstone systems * Prepare shipments to corporate ... chain analytics, and optimization, and more. Our integrated, end-to-end logistics solutions ...

Showing results 41-60

Data Analyst Logistics information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do data analyst logistics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analyst logistics in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What is a data analyst logistics?

A Data Analyst Logistics job involves analyzing supply chain and transportation data to improve efficiency, reduce costs, and optimize operations. Analysts collect, process, and interpret large data sets related to shipping, inventory, and demand forecasting. They use data visualization, statistical models, and analytical tools to identify trends and make data-driven recommendations. The role requires skills in SQL, Excel, and data visualization tools like Tableau or Power BI. Strong problem-solving and communication skills are also essential for conveying insights to stakeholders.

What are the key skills and qualifications needed to thrive in the data analyst logistics position?

To thrive as a Data Analyst Logistics, you need strong analytical skills, proficiency in data management, and a background in supply chain or logistics, often supported by a relevant degree. Familiarity with tools like SQL, Excel, Python, and logistics management systems (such as SAP or Oracle), along with certifications in supply chain analytics, are commonly required. Excellent problem-solving abilities, attention to detail, and clear communication skills help you interpret complex data and relay actionable insights to cross-functional teams. These skills are vital for optimizing logistics operations, improving efficiency, and supporting data-driven decision-making within the supply chain.

What types of teams or departments do data analyst logistics professionals typically collaborate with?

Data Analyst Logistics professionals commonly work closely with supply chain, warehouse operations, procurement, transportation, and IT teams to analyze and optimize logistics processes. They may be involved in cross-functional projects, often acting as a bridge between technical data sources and operational staff to implement process improvements or resolve bottlenecks. Collaboration is key, as logistics analysts need to understand diverse business needs and communicate findings effectively to both technical and non-technical stakeholders. This teamwork ensures smooth data flow and helps organizations achieve more efficient and cost-effective logistics operations.

Are data analyst logistics in high demand?

Data analyst roles in logistics are in high demand due to the increasing need for data-driven decision making in supply chain management and transportation. Skills in data analysis tools like Excel, SQL, and visualization software are highly valued, and the field offers steady employment opportunities across various industries.

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

A data analyst in logistics typically needs a bachelor's degree in fields such as logistics, supply chain management, data science, statistics, or related areas. Strong analytical skills and proficiency with tools like Excel, SQL, or data visualization software are also important for the role.

What are the most commonly searched types of Data Analyst Logistics jobs in Oregon?

The most popular types of Data Analyst Logistics jobs in Oregon are:

What are popular job titles related to Data Analyst Logistics jobs in Oregon?

For Data Analyst Logistics jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Data Analyst Logistics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR

Full-time

Re-posted 12 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist - Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.

You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.

Key Responsibilities

  • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
  • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
  • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Requirements

    • 10+ years of experience in applied data science or advanced analytics
    • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
    • Strong domain experience in CPG, FMCG, retail, or similar industries
    • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
    • Strong SQL skills for large-scale data processing
    • Proven experience deploying models in cloud environments (Azure preferred)

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.