Associate Analyst, Linehaul Analytics - Hybrid

What you’ll need to succeed as an Associate Analyst, Linehaul Analytics at XPO

Minimum qualifications:

• Bachelor’s degree or equivalent related work or military experience
• Strong Python skills, including experience with pandas or similar data analysis libraries.
• Experience working with structured data, large datasets, and data-quality validation.
• Strong analytical and problem-solving skills, with the ability to reason through complex operational systems and identify non-obvious relationships.
• Ability to investigate anomalies, validate assumptions, and explain findings using data, logic, and reproducible analysis.
• Comfort working with metrics, dashboards, reports, validation scripts, and operational data workflows.
• Ability to break down ambiguous business or operational problems into clear analytical steps.
• Strong written and verbal communication skills, including the ability to explain technical findings to both technical and non-technical stakeholders

Preferred qualifications:

• Master’s degree in Data Analytics, Engineering, Mathematics, Operations Research, Computer Science, Statistics, Logistics, Supply Chain, or a related field; or 2+ years of relevant professional experience.
• Experience with SQL and relational data concepts.
• Experience building dashboards, monitoring tools, or recurring analytical reports.
• Experience with logistics, transportation, supply chain, routing, linehaul, network planning, or operations analytics.
• Experience validating optimization models, simulation outputs, or decision-support systems.
• Experience with Python-based analytics, automation, or test frameworks.
• Familiarity with C++ or another high-performance language for speeding up data-intensive tools or simulators.
• Experience identifying root causes in complex systems with multiple interacting factors.
• Exposure to service center operations, shipment consolidation, shipment diversion, routing networks, or capacity planning.
• Experience creating new metrics or tools from scratch when existing reporting is insufficient.

About the Associate Analyst, Linehaul Analytics job

Pay, benefits and more:

• Competitive compensation package
• Full health insurance benefits are available on day one
• Life and disability insurance
• Earn up to 15 days of PTO over your first year
• 9 paid company holidays
• 401(k) option with company match
• Education assistance
• Opportunity to participate in a company incentive plan

What you’ll do on a typical day:

• Help improve model reliability by designing and maintaining analytical test cases, validation scripts, and metric checks for optimization workflows, simulators, and operational decision-support tools.
• In the first year, you will primarily focus on testing, validating, and analyzing existing linehaul optimization models and simulator outputs. This will serve as a ramp-up period to learn the internals of the models, data, network behavior, and operational constraints.
• Over time, you will expand into building analytical tools, dashboards, early-warning systems, network path assessments, simulator improvements, and performance metrics that help the team better understand and improve linehaul optimization outcomes
• Build and maintain analytical tools, dashboards, and monitoring metrics that provide visibility into optimization model performance, linehaul network health, shipment flow, service center volume, consolidation opportunities, and shipment diversions.
• Analyze linehaul optimization model outputs, operational data, and network behavior to identify data-quality issues, inconsistencies, anomalies, and performance gaps using Python, pandas, SQL, and traditional data analytics tools.
• Support development of internal tools used to evaluate linehaul paths, routing behavior, simulator results, and operational tradeoffs.
• Collaborate with optimization modelers, engineers, and operations stakeholders to turn ambiguous problems into clear analyses, reliable metrics, and actionable insights.
• Investigate complex operational is