Supply Chain Analyst

Supply Chain Analyst SheerTrans Solutions LLC dba Sheer Logistics Chicago, IL Job Details Full-time $60 - $70 an hour 2 hours ago Qualifications Performance dashboard reports Data model design Dashboard development Data modeling Data visualization software proficiency Bachelor's degree in industrial engineering SQL databases Engineering NumPy ERP systems Six Sigma methodology implementation Engineering process optimization Data reporting Consulting experience Tableau Supply chain transportation management SQL Pandas Demand forecasting Bachelor's degree in engineering Bachelor's degree Industrial Engineering Predictive analytics Machine learning libraries Cross-functional collaboration Implementing cost-saving initiatives Data manipulation Process engineering Entry level Cross-functional communication Supply chain collaboration Under 1 year Supply chain process improvement Full Job Description

COMPANY DESCRIPTION

Sheer Logistics is a leading logistics services provider with analytics in its DNA. Every decision we make is driven by deep data intelligence and complete transparency because it's your business - you deserve a clear picture.

Sheer Logistics Philosophy:

We Are Built on Transparency Transparency is our foundation, because having complete information allows clients to make better decisions. It saves time, it's better for business, it's better for people, and ultimately, it's better for the long-term relationships we cultivate. Our truth leads to extraordinary results. Information is power and we give it to our clients because that's what they deserve. We're playing a long game, practicing honesty and mutual respect to help our clients thrive. Our truth is that both Sheer and our clients can win. We don't believe in zero-sum strategies—we protect our clients' business interests like our own. Because if they don't win, neither do we. And we don't like losing. This is our truth. We help our customers think logistically. We are seeking a data-driven Supply Chain Analyst to join our Supply Chain Engineering team. In this role, you will act as a technical consultant, using data modeling and engineering principles to solve complex logistics challenges. You will be responsible for identifying inefficiencies, designing optimized networks, and implementing data-heavy solutions that drive value for our mid-market clients.

Key Responsibilities Network Optimization:

UtilizeIE/OR concepts to design and optimize supply chain networks, focusing on lead-time reduction, cost-saving initiatives, and facility location modeling.

Data Architecture & Reporting:

Query large datasets using SQL to extract actionable insights. Build and maintain automated dashboards to track KPI performance and carrier reliability.

Process Engineering:

Analyze current transportation workflows and recommend process improvements using Lean or Six Sigma methodologies.

Advanced Analytics:

Use Python to develop predictive models for demand forecasting, route optimization, and risk mitigation.

Cross-functional Collaboration:

Work closely with the Sales and Operations teams to translate technical findings into business strategies for high-growth clients.

Qualifications & Skills Education & Experience Degree:

Bachelor's degree in Industrial Engineering , Supply Chain Engineering, or a related Engineering/Business discipline (e.g., Operations Research, Data Analytics).

Experience:

0-3 years of professional experience in supply chain, logistics, or an analytical role. We welcome high-potential recent graduates with relevant internship experience. Technical Requirements SQL (Required): Must be proficient in writing complex queries, joining tables, and managing data integrity. Python (Bonus): Ability to use Pandas, NumPy, or Scikit-learn for data manipulation and automation. Tableau/Visualization (Bonus): Experience building interactive dashboards and "telling a story" through data.

Logistics Software:

Familiarity with Transportation Management Systems (TMS) or ERP modules is a plus.

Core Competencies Analytical Rigor:

Deep understanding of IE/OR concepts such as linear programming, queuing theory, and inventory optimization.

Problem Solving:

A "systems thinking" mindset—understanding how a change in one node affects the entire supply chain.

Communication:

Ability to explain technical engineering concepts to non-technical stakeholders.