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Remote Supply Chain Data Analyst Jobs (NOW HIRING)

Supply Chain Data Analyst

Phoenix, AZ · On-site +1

$31 - $33.65/hr

... data analysis, supply chain analytics, materials planning, or a similar analytical role * Strong ... We offer flexible work options, including remote arrangements, to support the need of the role and ...

Hansell Tierney is a premier staffing and recruiting company in the Pacific Northwest, seeking an Operations Analyst to support supply chain data analytics and process improvement. The role involves ...

Position Description Remote: Up to 25% Travel The MP&L Data Analyst is responsible for collecting, analyzing, and interpreting supply chain data to support decision-making across materials planning ...

Evaluate vendor utilization and recommend data-based optimization strategies. * Support annual ... Remote * Physical demands include intermittent sitting, standing, and walking, and occasional ...

Unlock your remote work journey: you shine, we match you! Once you apply, you will be receiving ... Monitor and analyze supply chain data to identify areas for improvement. * Develop and maintain ...

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Remote Supply Chain Data Analyst information

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$37K

$74.4K

$124.5K

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

As of Aug 27, 2026, the average yearly pay for remote supply chain data 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 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.

More about Remote Supply Chain Data Analyst jobs

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

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

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

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

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

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

Infographic showing various Remote Supply Chain Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,386 per year, or $35.8 per hour.

Supply Chain Data Analyst

Phoenix, AZ • On-site, Remote


Quest Global

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

243rd of 450 rated engineering

People enjoy working here

Good employer

Paid breaks


$31 - $33.65/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Job Requirements

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

What You will Do:

  • Decompose bills of material to component and raw material level
  • Map parts and materials to supplier, program, and country-of-origin records
  • Build and maintain the traceability dataset; identify gaps and route them to outreach
  • Reconcile supplier-returned data against internal records
  • Produce status and exposure reporting for program leadership
  • Support development of dashboards and standard reports

What You Will Bring:

  • Bachelor’s degree in supply chain, business, engineering, information systems, or equivalent experience
  • 2+ years in data analysis, supply chain analytics, materials planning, or a similar analytical role
  • Strong Excel skills required; SQL, Power BI, or Tableau strongly preferred
  • Experience working with BOMs, part masters, ERP data, or comparable structured product data
  • Detail-oriented with demonstrated accuracy on large datasets

Pay Range: $31.00- $33.65/hr

Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

Work Requirements:

We offer flexible work options, including remote arrangements, to support the need of the role and align with company policies. 

Travel Requirements:

Due to the nature of the work, no travel is required.

Citizenship Requirements: 

Due to the nature of the work, U.S. citizenship is required.


Benefits

Full-time (Regular)

• 401(k)

• 401(k) matching 

• Dental insurance

• Health insurance

• Life insurance

• Paid time off

• Referral program

• Vision insurance

• Short/Long Term Disability



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