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Remote Supply Chain Data Analyst Jobs in Wisconsin

Supply Chain Solutions Manager Sr

Neenah, WI · On-site +1

$112K - $169K/yr

Deliverables range from streamlining the overall supply base, managing material cost through negotiated strategic buying agreements and PPV metrics, analyzing supply chain data, optimizing ...

Intern - Supply Chain

Milwaukee, WI · On-site +1

$21.30/hr

This position offers flexibility for a hybrid work arrangement (remote/on-site) with time spent in ... Assisting the Business Performance team in data management, procurement support, and accounts ...

Dallas, TX ( REMOTE role) Company Overview: Blue Yonder is a global leader in digital supply chain ... IoT and Edge Computing for real-time data collection and analysis. * Modern software development ...

New

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Track supplier performance and help build and maintain our supplier scorecard. * Support audits and ...

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Track supplier performance and help build and maintain our supplier scorecard. * Support audits and ...

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

... supply chain, operations or the equivalent. * 2-3 years of analytical on the job experience * Proficiency in Microsoft Excel required, including complex formulas, pivot tables, look-ups, data ...

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Remote Supply Chain Data Analyst information

What is a remote supply chain data analyst?

A Remote Supply Chain Data Analyst is a professional who works off-site to collect, analyze, and interpret data related to a company's supply chain operations. Their main goal is to optimize processes such as procurement, inventory management, and logistics by providing actionable insights based on data trends and performance metrics. They use specialized software and analytical techniques to identify inefficiencies, forecast demand, and help improve supply chain performance. The remote aspect of the role means that all tasks are performed from a location outside the traditional office, often requiring strong communication and collaboration skills to work effectively with distributed teams.

What are the key skills and qualifications needed to thrive as a remote supply chain data analyst?

To thrive as a Remote Supply Chain Data Analyst, you need strong analytical skills, supply chain knowledge, and a background in data analysis or a related field such as business, statistics, or engineering. Familiarity with data visualization tools (like Tableau or Power BI), advanced Excel skills, and experience with ERP systems or SQL are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and collaborating with cross-functional teams remotely. These skills and qualities enable accurate data-driven decisions that optimize supply chain efficiency and business outcomes.

What are some common challenges faced by remote supply chain data analysts, and how can they be effectively managed?

Remote Supply Chain Data Analysts often face challenges such as coordinating with cross-functional teams across different time zones, ensuring data accuracy from multiple sources, and maintaining clear communication despite the lack of in-person interaction. To effectively manage these challenges, it’s important to establish regular check-ins, use collaborative project management tools, and set clear data validation protocols. Building strong virtual relationships with stakeholders and proactively addressing discrepancies will also help ensure smooth workflow and data-driven decision-making.

What is the difference between Remote Supply Chain Data Analyst vs Remote Logistics Coordinator?

AspectRemote Supply Chain Data AnalystRemote Logistics Coordinator
CredentialsBachelor's in Supply Chain, Data Analytics, or related field; proficiency in data toolsBachelor's in Logistics, Business, or related field; strong organizational skills
Work EnvironmentPrimarily data analysis, reporting, and forecasting tasksCoordination of shipments, tracking, and communication with vendors
Industry UsageUsed across manufacturing, retail, and e-commerce sectorsCommon in transportation, warehousing, and distribution industries
Search & Comparison IntentFocus on data analysis roles within supply chainFocus on logistics and shipment coordination roles

The Remote Supply Chain Data Analyst primarily focuses on analyzing supply chain data to optimize processes, while the Remote Logistics Coordinator manages shipment coordination and vendor communication. Both roles are essential in supply chain operations but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Supply Chain Data Analyst jobs in Wisconsin?

The most popular types of Supply Chain Data Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Supply Chain Data Analyst jobs?

Cities in Wisconsin with the most Remote Supply Chain Data Analyst job openings:

Infographic showing various Remote Supply Chain Data Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% Remote job distribution.

Senior Analyst, Global Supply Chain Planning (Mexio Based)

WAI Global

WI • On-site, Remote

$83K - $102K/yr

Full-time

Re-posted 6 days ago


Job description

We are advancing our global supply chain with AI-enabled analytics and systems to anticipate risk, evaluate tradeoffs, and drive faster, smarter decisions across our growing, global business. We are seeking a Senior Analyst, Global Supply Chain Planning to develop models and decision tools that improve supply chain performance across our global network.
This is an opportunity to work on high-impact initiatives with executive visibility and shape the next generation of our supply chain capabilities in a fast-moving and entrepreneurial business.
This is not a traditional reporting role or a pure data science role; it is a hands-on builder role for someone who can connect supply chain planning, systems, data, analytics, and automated workflows to improve business decisions at scale.
What you'll do
  • Own the design and improvement of analytical tools, planning workflows, dashboards, and system-enabled processes that support demand, supply, inventory, and operations decisions
  • Build predictive, prescriptive, and optimization models for forecasting, inventory risk, supply constraints, service performance, and exception detection using AI, automation, and self-service solutions to drive decision quality and speed
  • Perform exploratory analysis, root-cause analysis, data validation, feature development, and performance measurement to support business solutions
  • Develop scenario and simulation models to quantify tradeoffs across service, cost, inventory, and risk
  • Translate supply chain and business problems into scalable analytical solutions embedded in processes and systems
  • Partner with IT, planning, operations, and finance teams to improve data flows, reporting structures, planning system outputs, and analytical tools used throughout our planning processes
  • Clearly communicate findings to technical and non-technical stakeholders through visualizations, recommendations, and business insights
  • Improve data quality, metric consistency, and analytical rigor across the planning organization

Requirements
Qualifications
  • Bachelor's or Master's degree in engineering, operations research, data science, supply chain, analytics, or a related quantitative field
  • 4+ years of experience in data analytics, systems, operations research, industrial engineering, or a related quantitative role
  • Experience with SQL, BI/visualization tools such as Power BI or Tableau, and advanced Excel; Python, R, or similar analytical programming experience preferred
  • Strong problem-solving skills and the ability to turn ambiguous business questions into practical solutions
  • Experience working with large, complex datasets and building clear analytical recommendations and outputs
  • Skill and interest in AI-enabled workflows and production deployments
  • Strong communication skills, including the ability to explain technical concepts and model outputs to business and executive stakeholders
  • Working in a fast-paced, evolving environment with a high degree of ownership and a builder mindset

Preferred qualifications
  • Experience in supply chain, operations, logistics, retail, CPG, and automotive
  • Experience with statistical analysis, optimization, anomaly detection, predictive modeling, scenario modeling, or machine learning
  • Experience supporting global or multi-region business operations

Culture & values
  • Bias for Action: We favor delivering usable insights quickly over endless analysis.
  • Show You Care: We operate with empathy, integrity, and a collaborative spirit.
  • Action vs. Activity: Results - not busyness - drive recognition and advancement.

Why join us
  • Executive Visibility: Work directly with executive leaders on strategic, high-impact initiatives.
  • Global Impact: Help shape a supply chain that powers distribution across 100+ countries.
  • Stable + Growth: Join a company with a 50-year heritage and the momentum of a business expanding at startup speed through acquisitions