​This is a full-time, Mid-Level, Remote Logistics Data Analyst role within the Outbound Transportation Team of the Logistics Department at WebstaurantStore.com, a leading e-commerce website for foodservice professionals. The analyst is responsible for using data to identify supply chain inefficiencies, developing suggested business logic improvements, and achieving financial savings by optimizing transportation operations.

• ​Location: Remote (Must be a legal resident in one of the specified US states).
• ​Employment Status: Full-Time (W-2 only).
• ​Education: No degree required; focus is on relevant skills and experience.
• ​Focus: Analyzing logistics data, optimizing outbound delivery rates and transit times, implementing cost reduction strategies, and managing transportation provider relationships.
• ​Technical Skills: Experience with PowerBI, RStudio, Python, SQL, or similar programs is required.

​Responsibilities: Cost Reduction and Supply Chain Optimization

​The analyst is expected to be a data-driven innovator who challenges the status quo and takes ownership of complex problems to drive process improvement and financial results.

• ​Financial & Process Improvement: Identify areas for potential financial savings within supply chain operations and implement strategies to realize cost reduction. The ability to think like an entrepreneur and challenge the status quo is highly desired.
• ​Reporting & Analysis: Design and produce reports to provide valuable insights. Utilize varied datasets and systems in tandem to provide clarity for “grey area” business needs.
• ​Outbound Optimization: Work with the Outbound Transportation Team to optimize delivery rates and transit times.
• ​Data Systems: Collaborate with the enterprise business intelligence department to improve and optimize data and reporting capabilities and processes.
• ​Tool Management: Help optimize custom-built transportation management tools.
• ​Vendor Management: Manage relationships with contracted transportation providers.

​Required Qualifications and Technical Skills

​The role prioritizes excellent analytical abilities, practical experience with data manipulation, and strong communication skills over a formal degree.

• ​Analytical Skills: Has excellent analytical skills, with the ability to look “behind the numbers” to understand operational mechanics.
• ​Data Proficiency: Experience creating, cleaning, and leveraging data and reporting tools to support proposed solutions.
• ​Technical Tools: Experience using PowerBI, RStudio, Python, SQL, or other similar programs.
• ​Software: Proficient in MS Excel (proficiency with other statistical software is a plus).
• ​AI/ML (Desired): Experience using AI and Machine Learning to support business operations and decisions is desired but not required.
• ​Soft Skills: Able to work autonomously, communicate effectively with diverse audiences, and balance multiple responsibilities in a fast-paced environment.