Sr. Transportation Analyst - Denver, CO | Remote (Hybrid) at QuickBox Fulfillment

Denver, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Jun, 26

Salary

0.0

Posted On

13 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Predictive Modeling, AI/ML, Workflow Automation, Python, SQL, Alteryx, RPA, Parcel Operations, Data Analysis, Dashboard Development, Power BI, Tableau, Looker, Excel, Data Visualization, Communication

Industry

Warehousing and Storage

Description

Description The Sr. Transportation Analyst is responsible for optimizing parcel shipping operations through advanced analytics, automation, and data-driven insights. This role combines parcel expertise with modern technical skills, including AI-enabled analysis, workflow automation, dashboard development, and predictive modeling. Requirements Essential Duties & Job Functions: Analytics, AI, & Automation - Develop predictive models using AI/ML or advanced statistical tools to forecast parcel spend, transit-time risks, service delays, and cost-saving opportunities. · Build workflow automations using Python, SQL automation, Alteryx, RPA tools, or similar platforms to streamline invoice audits, data processing, and recurring reporting. Parcel Operations & Optimization - Analyze parcel shipping data to identify trends, inefficiencies, and savings opportunities. Build customized carrier mix models and client shipping solutions to optimize performance and profitability. Client Consulting & Cross-Functional Support - Present parcel performance insights, cost savings models, and optimization strategies to clients and internal stakeholders. Support Sales and Business Development by creating data-backed pricing models and parcel solution proposals. Continuous Improvement & Strategy - Stay current on transportation technology, AI applications in logistics, parcel carrier updates, and regulatory changes. Recommend process improvements, automation opportunities, and technology enhancements to increase accuracy, efficiency, and client value. Mandatory Qualifications: Bachelor’s degree in supply chain, Logistics, Business, Finance, Analytics, Data Science, or related field. 2–5 years of experience in parcel logistics, transportation analytics, or supply chain operations. Strong analytical and problem-solving skills with proficiency in Excel and data visualization tools (Power BI, Tableau, Looker, etc.). Working knowledge of SQL and experience querying large datasets. Experience with parcel or shipping software (ShipStation, Shipium, UPS WorldShip, FedEx Ship Manager). Familiarity with ERP/WMS/TMS systems and carrier rate structures, DIM logic, and surcharges. Excellent communication skills and ability to explain complex data insights to non-technical audiences. Ability to work independently, prioritize effectively, and collaborate within cross-functional teams. Preferred Qualifications: Experience using AI/ML tools for forecasting, anomaly detection, or logistics optimization. Experience integrating data through APIs or building ETL workflows (Alteryx, dbt, cloud data tools). Background in freight bill auditing, chargeback management, or 3PL operations. Familiarity with carrier contract negotiation, RFPs, and pricing strategy. Experience with Shipium or other modern parcel optimization platforms. Comprehensive benefits including health, dental, and vision coverage. 401(k) with 4% company matching. Generous paid time off and holiday schedule. Professional development and training opportunities. Quickbox is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or other protected characteristics. We encourage candidates to apply even if they don’t meet every listed requirement—your unique perspective may be exactly what we need!

Responsibilities

The Senior Transportation Analyst optimizes parcel shipping operations by leveraging advanced analytics, automation, and data-driven insights, focusing on predictive modeling for forecasting risks and savings opportunities. This role involves building automations, analyzing shipping data to optimize carrier mix and solutions, and consulting with clients and internal stakeholders on performance strategies.