6 demand analyst jobs at 4 companies in Seattle, WA
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Demand and Revenue Management Analyst
Seattle or Miami or Miami
$75k-$95k/yrHybridFull Time
Carnival Corporation & plcNYSE: CCL: Operates a global fleet of passenger cruise ships.
Bachelor's degree in a business-related field, strong analytical and communication skills, advanced Microsoft Excel, database and reporting tools, and legal US work authorization; 2 years of related experience preferred.
Business Analyst, Integrated Demand Center, AWS Marketing, IDC Analytics
Seattle, Washington, United States
$83k-$130k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOEBachelor's degree,5+ years as business/data analyst,expert SQL,experience with QuickSight or Tableau,AI-assisted tools,ETL and dashboarding skills; marketing analytics or B2B/demand-gen experience preferred.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years finance/analytical experience; 4+ years KPI analyses; Bachelor's in quantitative field; 3+ years financial data analysis; cross-functional initiative experience.
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
3+ YOERequires 3+ years in marketing or demand generation analytics, business intelligence, or quantitative work; advanced SQL and Tableau skills; experience with marketing data; and strong communication and collaboration.
SQL, Tableau, Google Analytics, Snowflake, Salesforce CRM, Python, R, dbt
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experience in hardware capacity, demand, or supply planning; strong SQL or spreadsheet modeling; meticulous reconciliation; ability to translate analysis into procurement actions and automate refreshes.
Austin or New York City or San Francisco or Seattle
$132k-$192k/yrOnsiteFull Time
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experience in capacity/utilization/demand analysis for infrastructure, builds models in SQL or Python, produces executive-ready recommendations, investigates data-quality issues, and performs scenario analysis for allocation decisions.