ZipRecruiter

Log In

1

Overnight Supply Chain Data Analyst Jobs (NOW HIRING)

Bedrock

Supply Chain Data Analyst

Houston, TX · On-site

Supply Chain Data Analyst Position Overview A fast-growing clean energy organization is expanding its team to support the continued development and scaling of innovative energy technologies. The ...

SPI LLC

Supply Chain Data Analyst

Charlotte, NC · On-site

$60K - $75K/yr

Summary The Supply Chain Data Analyst will play a critical role in driving data-informed decisions across the supply chain organization. This individual will be responsible for gathering, analyzing ...

Bevi

Supply Chain Data Analyst

Boston, MA · Hybrid

The Supply Chain Data Analyst will play a critical role in evolving Bevi's operational efficiency by managing the tactical procurement of components while simultaneously auditing and modernizing our ...

Howmet Aerospace

Supply Chain Data Analyst

Hampton, VA

$100K - $120K/yr

Bachelor's degree and 3 years of Supply Chain, Logistics, Data Analytics, or Procurement Experience. * Proven track record of building automated tools or dashboards in a manufacturing environment.

Howmet Aerospace

Supply Chain Data Analyst

Hampton, VA

$100K - $120K/yr

Analyze large datasets to identify trends, risks, bottlenecks, and opportunities for supply chain optimization. * Partner with cross-functional teams to develop data-driven solutions that improve ...

Howmet

Supply Chain Data Analyst

Hampton, VA · On-site

$100K - $120K/yr

Analyze large datasets to identify trends, risks, bottlenecks, and opportunities for supply chain optimization. * Partner with cross-functional teams to develop data-driven solutions that improve ...

Howmet Aerospace

Supply Chain Data Analyst

Hampton, VA

$100K - $120K/yr

Analyze large datasets to identify trends, risks, bottlenecks, and opportunities for supply chain optimization. * Partner with cross-functional teams to develop data-driven solutions that improve ...

Elevait Solutions

Supply Chain Data Analyst

Corning, NY · On-site

$37 - $39/hr

The role sits within supply chain operations at corporate headquarters, supporting the master data that underpins production planning, procurement, and manufacturing across the company's global sites ...

New

Hoonigan

1088 - Supply Chain Analyst

Buford, GA

We are seeking a Supply Chain Data Analyst who combines strong analytical capability with hands-on workflow automation skills. This role will translate raw supply chain, procurement, inventory, and ...

New

HD Supply

Supply Chain Analyst

Atlanta, GA · On-site

Demonstrates skill in data analysis techniques by resolving missing/incomplete information and ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

HD Supply

Supply Chain Analyst

Atlanta, GA

Demonstrates skill in data analysis techniques by resolving missing/incomplete information and ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

next page

Showing results 1-20

All JobsSupply Chain Data Analyst JobsOvernight Supply Chain Data Analyst Jobs

Overnight Supply Chain Data Analyst information

See salary details

$37K

$74.4K

$124.5K

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

As of Aug 3, 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.

Will SCM be replaced by AI?

Supply Chain Management (SCM) roles, including those of Overnight Supply Chain Data Analysts, are increasingly supported by AI and automation tools to improve efficiency and accuracy. However, human oversight, strategic decision-making, and complex problem-solving remain essential, so AI is more likely to augment rather than fully replace SCM professionals in the near future.

What does a supply chain data analyst do?

A supply chain data analyst collects, analyzes, and interprets data related to inventory, logistics, and procurement to improve supply chain efficiency. They use tools like Excel, SQL, or data visualization software to identify trends, forecast demand, and support decision-making processes within supply chain operations.

Can a data analyst work at night?

A data analyst, including those in supply chain roles, can work night shifts if the employer offers 24-hour operations or requires overnight coverage. Some positions may involve night hours to support global operations, monitor real-time data, or meet tight deadlines, often requiring familiarity with data analysis tools and strong time management skills.

What are some 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.

Can you make 200k a year in supply chain?

In supply chain roles such as a supply chain data analyst, earning $200,000 annually is possible but typically requires extensive experience, advanced skills in data analysis and supply chain management, and often senior or managerial positions. Compensation varies based on industry, location, company size, and individual expertise, with higher salaries generally associated with leadership roles or specialized skills like proficiency in analytics tools and certifications.

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 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:
Overnight Supply Chain Data Analyst jobs near you

Supply Chain Data Analyst

Bedrock

Houston, TX • On-site

Full-time

Re-posted 22 days ago

Job description

Role: Supply Chain Data Analyst Position
Overview A fast-growing clean energy organization is expanding its team to support the continued development and scaling of innovative energy technologies. The Supply Chain Data Analyst will play a critical role in enabling data-driven decision-making across the supply chain organization by owning analytics, dashboard development, reporting, and data support initiatives.
This role requires a hands-on analyst who can independently build, maintain, and enhance reporting solutions while partnering closely with Supply Chain leadership, IT, third-party developers, and business stakeholders. The position sits at the intersection of Supply Chain, IT, and business operations and demands strong analytical capability, data visualization skills, and technical fluency in reporting systems and data integration.
Key Responsibilities Data Analysis & Insights
  • Analyze large, complex datasets from multiple internal and external systems to identify trends, risks, and opportunities across the supply chain.
  • Translate data into actionable insights supporting cost reduction, operational efficiency, category management, and strategic sourcing initiatives.
  • Review invoice, purchase order, supplier, catalog, and spend data to improve visibility into purchasing patterns and category performance.
  • Identify top spend areas, supplier concentration, category trends, and other findings requiring leadership attention.
  • Partner with Supply Chain leadership to define KPIs, reporting priorities, and performance frameworks.
Dashboard Development & Visualization
  • Design, develop, and maintain executive-level dashboards and reports using Power BI and other visualization tools as needed.
  • Create clear, intuitive, and visually compelling dashboards for both technical and non-technical audiences.
  • Continuously improve dashboard usability, performance, data quality, and business relevance.
  • Support executive summaries, trend analysis, scorecards, and leadership reporting materials.
Data Integration & Reporting Structure
  • Support data integration across multiple supply chain and operational systems (e.g., invoice, purchasing, and order management platforms).
  • Collaborate with Supply Chain leadership, IT, and third-party developers to support reporting connectivity, including API-based integrations where required.
  • Help define reporting requirements, field mappings, category hierarchies, and logic to ensure accurate and sustainable dashboards.
  • Contribute to scalable reporting processes that improve consistency, visibility, and efficiency across the supply chain function.
Automation & Process Improvement
  • Automate recurring reports and data workflows to reduce manual effort and improve efficiency.
  • Identify opportunities to streamline data collection, validation, categorization, and reporting.
  • Enhance reporting standards to ensure focus on decision-relevant insights.
  • Support continuous improvement of reporting logic, dashboard structure, and data management practices.
Cross-Functional Collaboration
  • Collaborate with IT, Finance, Operations, and Supply Chain teams to align analytics with business needs.
  • Act as a liaison between business users and technical resources to ensure reporting solutions meet operational requirements.
  • Support category managers and supply chain leadership with analysis, presentations, and executive-ready deliverables.
Emerging Tools & Advanced Analytics
  • Leverage automation, AI tools, and modern analytics technologies to improve reporting efficiency and analytical output.
  • Stay current on emerging analytics capabilities and recommend practical applications.
  • Apply AI-enabled tools thoughtfully to accelerate analysis, summarize findings, and enhance reporting workflows.
Required Qualifications
  • Bachelor's degree in Supply Chain, Data Analytics, Business, Finance, Engineering, Computer Science, or a related field.
  • 3-7 years of experience in data analytics, business intelligence, supply chain, procurement, operations, or finance analysis roles.
  • Advanced Excel skills (formulas, PivotTables, lookups, structured reporting, charting).
  • Strong PowerPoint skills with experience creating executive-ready presentations.
  • Strong experience with Power BI or similar dashboarding tools.
  • Experience analyzing large datasets, including spend, supplier, PO, and invoice data.
  • Ability to support reporting across multiple systems and data sources.
  • Strong analytical skills with attention to data accuracy and reporting reliability.
  • Ability to work independently, manage multiple priorities, and operate in a fast-paced environment.
  • Proven ability to partner cross-functionally with both technical and business stakeholders.
Preferred Qualifications
  • Experience supporting procurement, sourcing, logistics, or supply chain teams.
  • Experience with operational or procurement platforms (e.g., invoice or order management systems).
  • Familiarity with APIs and system-based data integrations.
  • Exposure to SQL, Python, or advanced analytics tools (nice to have).
  • Experience building KPI dashboards, scorecards, and leadership-level performance reporting.
  • Familiarity with spend taxonomy, supplier master data, and reporting governance.
  • Comfort using AI tools (e.g., generative AI or analytics copilots) to support reporting and workflow efficiency.
Location This role follows a hybrid work model with in-office collaboration required as needed. The corporate office is located in downtown Houston.
With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.

Apply