Ryder System, Inc.

AI Product Analyst

Ryder System, Inc.

full-time

Posted on:

Location Type: Remote

Location: Remote • Florida • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $90,000 - $95,000 per year

Job Level

JuniorMid-Level

Tech Stack

CloudIoTPythonSQLTableau

About the role

  • Support multiple product teams in analyzing customer, operations and IoT data sets
  • Write SQL queries and perform data analysis across multiple database and data warehouse systems
  • Develop and maintain dashboards and reports using Power BI (or similar BI/visualization tools)
  • Translate data into actionable insights that influence strategy, product enhancements, and operational improvements
  • Perform ad-hoc analysis to answer business-critical questions and deliver insights to stakeholders
  • Collaborate on productizing ML-based solutions
  • Collaborate on Generative AI initiatives, contributing to prompt engineering, observability

Requirements

  • Bachelor's degree required in Economics, Math, Computer Science, Business, Engineering, Finance, or similar field
  • 2 - 3 years working with large data sets, reporting and analysis required
  • Strong proficiency in SQL and experience working with Snowflake (or other cloud data warehouses)
  • Hands-on experience with Power BI, Tableau, Looker, or similar BI/visualization tools
  • Familiarity with AI/ML workflows (e.g., preparing datasets, feature analysis, monitoring models)
  • Nice-to-Haves: Exposure to Python or R for data analysis or automation
  • Experience working with LLM, ML or other AI technologies
  • Understanding of statistical methods and A/B testing
Benefits
  • comprehensive health and welfare benefits
  • medical, prescription, dental, vision, life insurance
  • disability insurance options
  • paid time off for vacation, illness, bereavement, family and parental leave
  • tax-advantaged 401(k) retirement savings plan

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLdata analysisdashboard developmentreportingdata visualizationPythonRstatistical methodsA/B testingfeature analysis
Soft skills
collaborationcommunicationanalytical thinkingproblem-solvingstakeholder engagement