1

Supply Chain Analytics Jobs (NOW HIRING)

INFICON is seeking a strategic and forward-thinking Supply Chain Analytics Manager to lead the ISS Division's supply chain analytics strategy, data architecture, KPI design, reporting, and decision ...

INFICON is seeking a strategic and forwardthinking Supply Chain Analytics Manager to lead the ISS Division's supply chain analytics strategy, data architecture, KPI design, reporting, and decision ...

The Supply Chain Analytics Manager will be responsible for gathering and analyzing data, generating actionable insights, and creating reports and dashboards to support informed decision-making within ...

The Supply Chain Analytics Manager will be responsible for gathering and analyzing data, generating actionable insights, and creating reports and dashboards to support informed decision-making within ...

The Supply Chain Analytics Manager will be responsible for gathering and analyzing data, generating actionable insights, and creating reports and dashboards to support informed decision-making within ...

The Supply Chain Analytics Manager will be responsible for gathering and analyzing data, generating actionable insights, and creating reports and dashboards to support informed decision-making within ...

The Supply Chain Analytics Manager will be responsible for gathering and analyzing data, generating actionable insights, and creating reports and dashboards to support informed decision-making within ...

next page

Showing results 1-20

Supply Chain Analytics information

See salary details

$13

$25

$43

How much do supply chain analytics jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for supply chain analytics in the United States is $25.15, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $28.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Supply Chain Analytics professional, and why are they important?

To thrive in Supply Chain Analytics, you need strong analytical skills, knowledge of supply chain processes, and typically a degree in supply chain management, statistics, or a related field. Proficiency in data analysis tools such as Excel, SQL, Python, and supply chain management systems (like SAP or Oracle) is commonly required, along with certifications like APICS CSCP. Excellent problem-solving abilities, attention to detail, and effective communication help professionals stand out in this role. These skills enable data-driven decision-making, process optimization, and seamless collaboration across supply chain functions, which are crucial for organizational efficiency and competitiveness.

How does a Supply Chain Analytics professional typically contribute to cross-functional project teams?

Supply Chain Analytics professionals play a vital role in cross-functional teams by providing data-driven insights that inform key business decisions. They collaborate with procurement, operations, logistics, and IT departments to identify inefficiencies, forecast demand, and optimize inventory levels. Through regular reporting, visualization tools, and predictive modeling, they help teams align strategies and improve end-to-end supply chain performance. Effective communication skills are essential, as these professionals must translate complex data into actionable recommendations for stakeholders with varying technical backgrounds.

What is the difference between Supply Chain Analytics vs Supply Chain Coordinator?

AspectSupply Chain AnalyticsSupply Chain Coordinator
Required CredentialsBachelor's in Supply Chain, Logistics, or related field; often certifications in data analysis or logisticsBachelor's in Business, Logistics, or related field; relevant experience preferred
Work EnvironmentData analysis, reporting, and strategic planning in office settingsOperational coordination, communication with suppliers and teams, on-site or office-based
Employer & Industry UsageUsed across manufacturing, retail, and logistics companies for data-driven decision makingCommonly employed in supply chain operations, logistics, and distribution centers

Supply Chain Analytics focuses on analyzing data to optimize supply chain processes, while Supply Chain Coordinators handle day-to-day logistics and coordination tasks. Both roles are essential but differ in their focus—analytics emphasizes data insights, whereas coordinators manage operational execution.

What is supply chain analytics?

Supply chain analytics is the process of collecting, analyzing, and interpreting data from various points in a supply chain to improve efficiency, reduce costs, and enhance decision-making. It uses advanced analytical methods and tools—including statistical analysis, predictive modeling, and data visualization—to identify trends, forecast demand, optimize inventory, and streamline logistics. By leveraging supply chain analytics, organizations can better anticipate disruptions, improve service levels, and gain a competitive advantage in the marketplace.
More about Supply Chain Analytics jobs
What cities are hiring for Supply Chain Analytics jobs? Cities with the most Supply Chain Analytics job openings:
What are the most commonly searched types of Supply Chain Analytics jobs? The most popular types of Supply Chain Analytics jobs are:
What states have the most Supply Chain Analytics jobs? States with the most job openings for Supply Chain Analytics jobs include:
Professional - Supply Chain Analytics

Professional - Supply Chain Analytics

Ingram Micro

Irvine, CA • On-site

Full-time

Re-posted 13 days ago


Ingram Micro rating

7.1

Company rating: 7.1 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

206th of 368 rated retail wholesalers


Job description

Job Summary:
Ingram Micro is a leading technology company for the global information technology ecosystem, and they are seeking a highly motivated Supply Chain Analyst. The role focuses on supporting category management, demand-supply planning, and supply chain optimization through reporting and analytics to drive actionable insights and improve operational efficiency.
Responsibilities:
• Design, build, and maintain scalable dashboards and reporting frameworks for key supply chain KPIs (backorders, inventory health, service levels, forecast accuracy, SKU productivity)
• Extract, transform, and analyze large datasets using SQL, Excel, and BI tools (Power BI/Tableau)
• Develop data models and automated reporting solutions to reduce manual effort and improve speed to insight
• Ensure data accuracy, consistency, and governance across systems and reports
• Deliver regular performance insights and executive-ready summaries to support decision making
• Analyze category and SKU-level performance across revenue, margins, inventory turns, aging, and lifecycle stages
• Identify opportunities for SKU rationalization, long-tail optimization, and excess & obsolete (E&O) reduction
• Support category managers with data-driven insights for assortment planning, vendor performance, and product lifecycle decisions (NPI/EOL)
• Develop and maintain category scorecards and performance tracking frameworks
• Analyze forecast accuracy, demand variability, and demand-supply mismatches to identify root causes and improvement opportunities
• Develop analytics to define replenishment strategies, safety stock, EOQs etc
• Perform scenario analysis and trade-off modeling (service level vs. inventory vs. cost)
• Identify opportunities to improve inventory efficiency, fill rates, and overall supply chain responsiveness
• Track and analyze inventory turns, Days of Inventory (DOI), and inventory aging at category and SKU levels
• Generate insights to improve inventory velocity and reduce slow-moving or excess stock
• Quantify the financial impact of supply chain decisions on cash flow and profitability
• Partner with Finance and business teams to support working capital optimization initiative
• Partner with Category Management, Planning, Procurement, Finance, and Sales teams
• Act as a bridge between data and business, translating analytical findings into actionable recommendations
• Support business reviews and planning cycles with fact-based insights and performance tracking
Qualifications:
Required:
• Bachelor’s degree in supply chain, Operations, Business Analytics, Engineering, Economics, or a related quantitative field
• 3–5 years of experience in supply chain analytics, planning, inventory management, or category analytics
• Advanced proficiency in SQL and Excel, with the ability to work with large, complex datasets
• Hands-on experience with BI tools such as Power BI or Tableau for dashboarding and visualization
• Solid understanding of supply chain concepts including demand planning, inventory management, and operational KPIs
• Ability to connect operational metrics to financial outcomes such as working capital, margins, and cash flow
• Experience working with ERP systems like SAP or Oracle, with familiarity in data structures and data quality practices
• Strong analytical thinking, attention to detail, and ability to translate data into actionable insights
Preferred:
• Experience in B2B distribution, technology products, or high-SKU environments strongly preferred
• Experience working with planning systems such as Blue Yonder, Kinaxis a plus
• Experience working in cross-functional environments, with exposure to planning tools, automation, or advanced analytics techniques preferred
Company:
Ingram Micro is a provider of technology products and supply chain management services. Founded in 1979, the company is headquartered in Irvine, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Ingram Micro employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom