AI-Driven Fulfillment & Network Planner

Carvana; Tempe (AZ); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401K with match

Perks program

Job summary

Carvana seeks a Fulfillment Planning Analyst to forecast vehicle flow, plan frequency and optimize the middle-mile network. You will forecast demand, analyze capacity, and collaborate with teams to adapt plans as conditions change. This is an on-site role based at our Tempe headquarters.

You will build dashboards, use AI tools for analysis, and present findings to stakeholders. A quantitative background, strong Excel/Sheets skills, and SQL familiarity are essential for success.

Qualifications

• Bachelor's degree or 6+ years of quantitative work experience.
• 2+ years in network, transportation or supply chain planning.
• Hands-on experience with AI integrated into analytics workflow.
• Advanced skill in Excel and/or Google Sheets.
• Familiarity with SQL or ability to learn quickly.

Responsibilities

• Build demand forecasts and frequency plans for middle-mile network.
• Combine sales demand, site capacity, and headcount data to forecast volume.
• Update forecasts as results and constraints change.
• Evaluate changes such as new lanes or hours and quantify effects.
• Identify demand trends and required capacity including overflow.
• Communicate changes to stakeholders and coordinate responses.
• Own analyses from question to final recommendation.
• Present findings with definitions and caveats.

Skills

Forecasting

Data analysis

Communication

Education

Bachelor's degree or 6+ years experience

Tools

Excel

Google Sheets

SQL

AI tooling

Dashboards

Job description

Carvana seeks a Fulfillment Planning Analyst to forecast vehicle flow, plan frequency and optimize the middle-mile network. You will forecast demand, analyze capacity, and collaborate with teams to adapt plans as conditions change. This is an on-site role based at our Tempe headquarters.

You will build dashboards, use AI tools for analysis, and present findings to stakeholders. A quantitative background, strong Excel/Sheets skills, and SQL familiarity are essential for success.