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Overnight Supply Chain Data Analyst Jobs (NOW HIRING)

Analyze supply chain data to identify opportunities for cost savings, process improvements, and operational efficiencies. * Monitor inventory levels, demand forecasts, and supply plans to ensure ...

You will be involved in analyzing data, identifying trends, and making strategic recommendations to enhance our overall supply chain operations. This position offers an exciting opportunity to ...

$100 - $160/hr

Planning Analytics and Automation capability** that enables data-driven decision-making across a complex, global supply chain.This individual will work across a team to **define the strategy ...

New

Strong data driven decision-making, analytical, and problem-solving skills As a Supply Chain Data & Process Leader, your will: * Play a key role in assessing, redesigning, and improving site supply ...

New

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Overnight Supply Chain Data Analyst information

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$37K

$74.4K

$124.5K

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

As of Sep 4, 2026, the average yearly pay for overnight 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 an overnight supply chain data analyst?

An Overnight Supply Chain Data Analyst is a professional who works during nighttime hours to monitor, analyze, and optimize supply chain operations using data-driven insights. Their responsibilities typically include tracking inventory levels, assessing logistics performance, generating reports, and identifying potential issues that could disrupt the supply chain. By working overnight, they help ensure that supply chain processes run smoothly around the clock and can provide actionable recommendations to management before the next business day. This role is especially important for companies with 24/7 operations or global supply chains that require constant attention.

What are the expectations for communication and collaboration when working as an overnight supply chain data analyst?

As an Overnight Supply Chain Data Analyst, you’ll typically work independently during late hours but will need to ensure seamless communication with day-shift teams. Regularly documenting findings, preparing reports, and handing off critical insights to colleagues during shift changes are essential. You may also participate in virtual meetings or use collaboration tools to coordinate with supply chain managers, warehouse staff, and IT teams. Strong written communication and attention to detail are crucial to ensure continuity and data accuracy across shifts.

What are the key skills and qualifications needed to thrive as an overnight supply chain data analyst, and why are they important?

To thrive as an Overnight Supply Chain Data Analyst, you need strong analytical skills, expertise in supply chain processes, and a degree in business, logistics, or data analytics. Proficiency with data analysis tools like SQL, Excel, and Tableau, as well as experience with enterprise resource planning (ERP) systems, is typically required. Attention to detail, problem-solving abilities, and effective communication are key soft skills for interpreting data and collaborating with team members across shifts. These skills ensure accurate, timely insights that support efficient supply chain operations and informed decision-making during critical overnight hours.

What is the difference between Overnight Supply Chain Data Analyst vs Inventory Analyst?

AspectOvernight Supply Chain Data AnalystInventory Analyst
Required CredentialsBachelor's in Supply Chain, Logistics, or related field; data analysis certificationsBachelor's in Business, Logistics, or related field; inventory management certifications
Work EnvironmentSupply chain offices, warehouses, data centers, often overnight shiftsOffice settings, warehouses, retail stores, regular hours
Employer & Industry UsageLogistics companies, retailers, manufacturing firmsRetailers, wholesalers, manufacturing companies

The Overnight Supply Chain Data Analyst focuses on analyzing supply chain data during overnight shifts to optimize logistics operations, while the Inventory Analyst manages stock levels and inventory accuracy during regular hours. Both roles require data analysis skills and industry knowledge but differ mainly in shift timing and specific responsibilities.

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

Cities with the most Overnight 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 Overnight Supply Chain Data Analyst jobs?

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

Supply Chain Analyst

Qualitech Inspection Repair and Maintenance

Spring, TX • On-site

$40K - $48K/mo

Full-time

Medical

Re-posted 7 days ago


Job description

Benefits:
  • Employee discounts
  • Health insurance

Benefits/Perks
  • Flexible Schedule 
  • Competitive Pay
  • Career Advancement 
Job Summary
We are seeking a Supply Chain Analyst to join our team. In this role, you will collect and analyze our supply chain data to increase efficiencies and help the company reduce overhead. The ideal candidate has an analytical mind and experience in logistics and supply chain processes.
Responsibilities 
  • Gather and analyze supply chain data
  • Identify issues with the existing supply chain processes and make recommendations on improvements
  • Implement supply chain optimization projects
  • Develop improved standards and procedures
  • Research shipping modes and schedules to find the most efficient and cost-effective options
  • Build relationships with vendors and other business partners
  • Collaborate with IT professional to create more efficient supply chain systems and processes
  • Track KPIs and report on performance
Qualifications
  • Bachelor’s degree in mathematics, logistics, business analytics or similar field; not preferred
  • Previous experience in supply chain management
  • Familiarity with ERP systems, relational databases, and Microsoft Office
  • Experience in data collection and analysis
  • Strong verbal and written communication skills
  • Attention to detail and ability to problem solve