Ecommerce Analytics Lead

Red Bull

Santa Monica (CA)

On-site

USD 72,000 - 108,000

Full time

13 days ago

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Benefits offered by this job

Health, Dental, Vision
401k Match
Paid Time Off
Paid Holidays
Tuition Reimbursement

Job summary

Red Bull seeks a Sales Analyst to turn data into actionable insights for the eCommerce business. You will partner across teams to uncover trends, support planning, and develop tools to drive growth across digital channels.

You will lead analysis for monthly reviews, retailer performance, and long-term channel planning, blending strategic thinking with hands-on execution to influence decisions and daily operations.

Qualifications

  • 2-5 years of experience in an analytical management role in CPG
  • Highly skilled in MS Excel and MS PowerPoint
  • Experience with eCommerce, Retail Media, and Syndicated data
  • Experience in Business/Management Consulting is a plus
  • Good communication skills, highly organized
  • Knowledge of retail landscape (local and national accounts)
  • Ability to work cross-functionally with HQ, field units and retailers
  • Ability to work with IT teams on reporting tech and capabilities
  • Proven ability to interpret sales data and provide actionable recommendations

Responsibilities

  • Lead development of the eCommerce volume plan and forecast.
  • Own monthly leadership and commercial review content with current performance and learnings.
  • Create retailer-facing executive updates for Top Accounts.

Skills

Analytical mindset
Cross-functional collaboration
Strong communication
Problem solving
Data interpretation

Tools

MS Excel
MS PowerPoint
PowerBI

Job description

Red Bull seeks a Sales Analyst to turn data into actionable insights for the eCommerce business. You will partner across teams to uncover trends, support planning, and develop tools to drive growth across digital channels.

You will lead analysis for monthly reviews, retailer performance, and long-term channel planning, blending strategic thinking with hands-on execution to influence decisions and daily operations.

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