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Supply Chain Analytics Engineer Jobs (NOW HIRING)

Jobgether

$24K/mo

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 ...

CalTek Staffing

Supply Chain Analyst

Mesquite, TX · On-site

Required : • Bachelor's degree in Supply Chain, Business, Analytics, Engineering, or a related field • 1-3 years of experience in supply chain, logistics, operations, business analytics, or a ...

NextGenEnergyJobs

$150 - $200/hr

Manager, Supply Chain Analytics and Systems As a member of the Data Center Supply Chain team, the ... For example, we're proud to support access and opportunity in engineering and clean energy through ...

Wonder Group, Inc.

Supply Chain Analytics Intern

New York, NY · On-site

$19.75 - $26.50/hr

About The Opportunity As a Supply Chain Analytics Intern, you will be brought on to learn about our ever-evolving Supply Chain operations and help drive strategic initiatives to support the growth of ...

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Supply Chain Analytics Engineer information

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How much do supply chain analytics engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for supply chain analytics engineer in the United States is $43.84, according to ZipRecruiter salary data. Most workers in this role earn between $32.21 and $47.60 per hour, depending on experience, location, and employer.

What is the difference between Supply Chain Analytics Engineer vs Supply Chain Analyst?

AspectSupply Chain Analytics EngineerSupply Chain Analyst
Required CredentialsBachelor's in Supply Chain, Data Science, or related fields; often some technical certificationsBachelor's in Business, Logistics, or related fields; may have certifications in supply chain or analytics
Work EnvironmentTechnical teams, data-focused roles, often in logistics or manufacturing companiesOperational teams, logistics departments, or consulting firms
Employer & Industry UsageTech-driven supply chain companies, large manufacturers, logistics providersRetail, manufacturing, logistics, and consulting firms

The Supply Chain Analytics Engineer focuses on developing data models and technical solutions to optimize supply chain processes, requiring technical skills and programming knowledge. In contrast, the Supply Chain Analyst primarily interprets data to support decision-making, often with less emphasis on technical development. Both roles are vital but differ in technical depth and focus.

What cities are hiring for Supply Chain Analytics Engineer jobs?

Cities with the most Supply Chain Analytics Engineer job openings:

What states have the most Supply Chain Analytics Engineer jobs?

States with the most job openings for Supply Chain Analytics Engineer jobs include:

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

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

Infographic showing various Supply Chain Analytics Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $91,187 per year, or $43.8 per hour.

Supply chain Analyst

On-site, Remote

Jobgether
See more jobs at Jobgetherexternal

$24K/mo

Full-time

Posted 8 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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