Senior Analyst, Ecommerce & Omnichannel

Levi Strauss & Co.

Markham, Ontario, Canada
Base: $92,400 - $135,500 py; bonus/equity: incenti...
Hybrid (3 days in office, typically tuesday–thursday)
5+ years analytics experience
Hands-on sql skills required
Advanced excel proficiency
Levi Strauss & Co. is seeking a Senior Analyst for Ecommerce & Omnichannel in Markham, Ontario, to enhance performance reporting and insights for their Canadian operations. The role involves collaborating with business leaders and utilizing advanced analytics tools to derive actionable insights from complex data

Job Summary

  • This role involves reimagining performance reporting and insights for Canada Ecommerce, Omnichannel, and Loyalty to drive decisions across Digital, Retail, and Marketing.
  • The successful candidate will partner with Global and Regional Analytics teams to align standards while meeting local needs using modern data platforms and AI tools.
  • Levi Strauss & Co. offers a total rewards package including base pay, incentive plans, pension contributions, paid leave, health insurance, and product discounts.

Matching Summary

Match Score: 85

Levi Strauss & Co. is seeking a Senior Analyst for Ecommerce & Omnichannel in Markham, Ontario, to enhance performance reporting and insights for their Canadian operations. The role involves collaborating with business leaders and utilizing advanced analytics tools to derive actionable insights from complex data.

Salary

Base: $92,400 - $135,500 per year; Bonus/Equity: Incentive plans included; Benefits: Pension, health insurance, paid leave, product discounts

Skills & Requirements

Must-have

  • 5+ years analytics experience
  • Hands-on SQL skills required
  • Advanced Excel proficiency
  • Dashboard creation in Looker or Tableau
  • Ecommerce and omnichannel metrics knowledge

Nice-to-have

  • Python programming experience
  • GCP BigQuery platform familiarity
  • AI-enabled analytics application
  • Proactive and curious mindset
  • Cross-geography partnership skills

Key Requirements

  • Bachelor's degree in data-related field
  • 5+ years of experience in analytics or business intelligence
  • Hybrid work schedule requiring 3 days in office per week

Work Rights

Not specified

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