Manager Customer Insights & Data Analytics

Ryder

Multiple Locations
Base: $130,000.00 - $140,000.00; bonus/equity: ann...
On-site
Analyze customer usage data
Identify sales and expansion opportunities
Communicate with business stakeholders
Ryder is seeking a Manager for Customer Insights & Data Analytics to analyze customer usage data and identify opportunities for sales and product expansion. The ideal candidate will have extensive experience with big data management, analytics, and a strong ability to communicate insights to stakeholders

Job Summary

  • The Customer Insights & Data Analytics Manager plays a pivotal role in analyzing customer usage data for Ryder's products to identify sales and expansion opportunities.
  • This Manager must be comfortable at all levels of big data management including sourcing, vetting, analyzing, and reporting.
  • Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.

Matching Summary

Match Score: 85

Ryder is seeking a Manager for Customer Insights & Data Analytics to analyze customer usage data and identify opportunities for sales and product expansion. The ideal candidate will have extensive experience with big data management, analytics, and a strong ability to communicate insights to stakeholders.

Salary

Base: $130,000.00 - $140,000.00; Bonus/Equity: Annual bonus, commission, and/or long-term incentive plan; Benefits: Comprehensive health and welfare benefits, paid time off, 401(k)

Skills & Requirements

Must-have

  • Analyze customer usage data
  • Identify sales and expansion opportunities
  • Communicate with business stakeholders
  • Develop plans for data ingestion
  • Turn raw data into actionable insights
  • Develop data infrastructure
  • Advanced SQL query writing
  • Familiarity with Python, PowerBI, R, DataBricks
  • Strong technical aptitude

Nice-to-have

  • Drive business performance
  • Enhance and enrich existing data sets
  • Work across the organization
  • Strong sense of urgency
  • Problem solving and creative solutions
  • Business acumen and innovation management

Key Requirements

  • 8+ years in big-data data analyst
  • 8+ years with Excel, SQL, R/SAS/other Statistical Packages
  • Advanced customer experience insights methods
  • Bachelor's degree in engineering, Economics, Finance, Statistics or Computer Science

Work Rights

Not specified

Tailored Resume

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