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Weekend Remote Supply Chain Analyst Jobs (NOW HIRING)

$24K/mo

Fully remote work arrangement. * Professional Growth: Opportunity for an early-career professional to strengthen expertise across supply chain analytics, data science, AI/ML, and cloud technologies.

Remote Position POSITION DESCRIPTION: Think Tank is seeking a skilled Supply Chain Analyst to support the National Marine Fisheries Service (NMFS) at NOAA. This role focuses on analyzing U.S. seafood ...

Remote PositionPOSITION DESCRIPTION:Think Tank is seeking a skilled Supply Chain Analyst to support the National Marine Fisheries Service (NMFS) at NOAA. This role focuses on analyzing U.S. seafood ...

Supply Chain Analyst

Milwaukee, WI · On-site +1

$30/hr

Hybrid -- Monday-Thursday onsite, Friday remote Experience: 2-5 years Job Overview: We are seeking a Supply Chain Analyst to support transportation, supply planning, data analysis, reporting, and ...

New

Supply Chain Analyst

Memphis, TN · Remote

$60 - $75/hr

Skills Supply chain, Business analysis, Project management, supply chain analysis, Supply chain ... remote position. Application Deadline This position is anticipated to close on Sep 2, 2026. About ...

The Supply Chain Analyst at Leggett & Platt is a hands-on position that requires someone to work tactically, with a large volume of data. The focus of this role is to develop and implement KPI ...

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Software Supply Chain Analyst Xcelerate Solutions is seeking a Software Supply Chain Analyst to support CyberPRIMES cybersecurity, privacy, records and information management, and related enterprise ...

Remote * Physical demands include intermittent sitting, standing, and walking, and occasional ... Experience analyzing supply chain data using Power BI or similar business intelligence and data ...

This is a Hybrid or Remote position. DISCOVER As a Supply Chain Analyst for Sauna360, you will play a key role in connecting demand signals to manufacturing execution. You'll spend much of your time ...

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Weekend Remote Supply Chain Analyst information

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$37K

$74.4K

$124.5K

How much do weekend remote supply chain analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for weekend remote supply chain analyst in the United States is $74,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $83,500.00 per year, depending on experience, location, and employer.

What is a weekend remote supply chain analyst?

A Weekend Remote Supply Chain Analyst is a professional who monitors, analyzes, and helps optimize supply chain operations for a company while working remotely on weekends. Their responsibilities typically include tracking inventory, coordinating logistics, analyzing data to identify trends or inefficiencies, and communicating with vendors and internal teams. By working remotely, they provide flexibility for both the employer and the employee, ensuring supply chain processes run smoothly even outside traditional business hours.

How does a weekend remote supply chain analyst typically collaborate with on-site teams and other departments while working off-hours?

As a Weekend Remote Supply Chain Analyst, you will often coordinate with on-site staff and cross-functional teams through digital communication tools such as email, instant messaging, and virtual meetings. Since you may be working outside standard business hours, clear and concise documentation, proactive status updates, and scheduled check-ins are crucial to ensure alignment on supply chain activities. You may also be responsible for compiling reports, analyzing real-time data, and flagging urgent issues for weekday teams to address, making strong written communication and self-management skills essential for success in this role.

What are the key skills and qualifications needed to thrive as a weekend remote supply chain analyst, and why are they important?

To thrive as a Weekend Remote Supply Chain Analyst, you need strong analytical skills, proficiency in supply chain management principles, and typically a bachelor’s degree in business, logistics, or a related field. Familiarity with ERP systems, data analysis tools like Excel or Tableau, and relevant certifications such as APICS/CPIM are commonly required. Exceptional problem-solving, communication, and self-motivation are crucial soft skills for working remotely and collaborating across teams. These abilities ensure effective supply chain operations, timely data-driven decisions, and seamless coordination even outside standard business hours.
More about Weekend Remote Supply Chain Analyst jobs

What cities are hiring for Weekend Remote Supply Chain Analyst jobs?

Cities with the most Weekend Remote Supply Chain Analyst job openings:

What states have the most Weekend Remote Supply Chain Analyst jobs?

States with the most job openings for Weekend Remote Supply Chain Analyst jobs include:

Supply chain Analyst

Jobgether

On-site, Remote

$24K/mo

Full-time

Posted 5 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Supply Chain Analyst based in Netherlands.

This role offers an exciting opportunity for an early-career analyst to apply data and technology to real-world supply chain challenges.
You will analyze complex datasets to uncover trends, risks, and opportunities that can improve operational performance.
Working across Supply Chain, Finance, Procurement, R&D, engineering, and product teams, you will turn insights into practical recommendations.
Your work will contribute to cost improvement, inventory optimization, demand planning, logistics efficiency, and supplier performance.
You will also develop predictive models and optimization solutions using modern AI and machine learning techniques.
The position combines analytical problem-solving with hands-on work in Python, SQL, visualization, cloud platforms, and data-driven decision-making.
It is well suited to a curious, detail-oriented professional who wants to grow their technical and supply chain expertise in a dynamic environment.

Accountabilities
  • Analyze large and complex supply chain datasets to identify trends, operational risks, cost-saving opportunities, and performance improvement areas.
  • Develop predictive models and optimization algorithms using AI and machine learning techniques to support supply chain decision-making.
  • Collaborate with engineering and product teams to integrate analytics, models, and data-driven capabilities into supply chain platforms.
  • Monitor key performance indicators and build dashboards using data visualization tools to provide clear, real-time visibility into operational performance.
  • Support strategic initiatives involving inventory optimization, demand planning, logistics efficiency, procurement, supplier performance, and waste reduction.
  • Work cross-functionally with Supply Chain, Finance, Procurement, R&D, engineering, and other stakeholders to translate business challenges into analytical solutions.
  • Present analytical findings, insights, and recommendations to leadership and business stakeholders to support informed decision-making.
  • Contribute to broader transformation and cost-improvement initiatives by applying data, automation, and analytical techniques to supply chain processes.
Requirements
  • Bachelor's or Master's degree in Supply Chain Management, Data Science, Engineering, or a related discipline.
  • 1-3 years of relevant professional experience, academic project experience, or comparable hands-on exposure to supply chain analytics or data analysis.
  • Strong technical capabilities in Python, SQL, and data visualization platforms such as Tableau or Power BI.
  • Experience or familiarity with AI/ML frameworks including TensorFlow or PyTorch.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Solid understanding of supply chain fundamentals, including procurement, logistics, inventory management, and demand planning.
  • Strong analytical and problem-solving abilities, with the capacity to work with large datasets and translate findings into actionable business insights.
  • Excellent written and verbal communication skills, including the ability to present technical analysis clearly to non-technical stakeholders.
  • Ability to collaborate effectively across multiple functions and work independently when required.
  • Comfortable working in a fast-paced, evolving environment with a strong focus on results, learning, and continuous improvement.
  • Curious and detail-oriented mindset with a genuine interest in applying technology and analytics to operational challenges.
Benefits
  • Salary: $24,000.
  • Employment: Full-time position.
  • Work Flexibility: Fully remote work arrangement.
  • Professional Growth: Opportunity for an early-career professional to strengthen expertise across supply chain analytics, data science, AI/ML, and cloud technologies.
  • Cross-Functional Exposure: Work closely with Supply Chain, Finance, Procurement, R&D, engineering, product, and business stakeholders.
  • Technology Exposure: Hands-on opportunities involving Python, SQL, Tableau, Power BI, AI/ML frameworks, and major cloud platforms.
  • Business Impact: Contribute to strategic cost improvement, inventory, demand planning, logistics, procurement, and supply chain transformation initiatives.
  • Dynamic Environment: Join a fast-paced setting where analytical thinking, innovation, and data-driven decision-making are encouraged.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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