4 talent analyst jobs at 4 companies in Seattle, WA

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Talent Intelligence Analyst
San Francisco or Palo Alto or New York City or Seattle
$110k-$140k/yr HybridFull Time
Wealthfront
WealthfrontNasdaq: WLTH: Automated wealth management and high-yield cash account platform.
2+ YOE2+ years producing actionable written analyses; strong research, systems thinking, technical fluency, clear writing, and judgment; Bachelor’s or Master’s degree.
1mo
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Talent & Rewards Consulting Analyst
Seattle, Washington, United States
$76k-$151k/yr HybridFull Time
Marsh McLennan
Marsh McLennanNYSE: MRSH: Global professional services firm providing risk, strategy, and people solutions.
1+ YOEBachelor's degree, 1–3 years consulting or corporate experience, strong quantitative and analytical skills, Microsoft Office (Excel, PowerPoint) proficiency, project management and presentation skills, excellent communication, and attention to detail.
Microsoft Office, Microsoft Excel, Microsoft PowerPoint
2d
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Data Analytics Senior Analyst – Recruiting Analytics, Research & Competitive Intelligence - Contractor Role
San Francisco or Chicago or Atlanta or Seattle or Indianapolis or Austin
$99k-$150k/yr HybridFull Time, Contract
Salesforce
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
3+ YOERequires 3–5+ years in data analytics, market research, or recruiting intelligence; competitive intelligence and benchmarking experience; LinkedIn Talent Insights; Tableau or visualization tools; basic Python or SQL.
LinkedIn Talent Insights, Tableau, Python, SQL, Draup, Workday ATS, Workday HCM, Salesforce Agentforce
2mo
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Head of Fraud Intelligence
Austin or San Francisco or New York City or Seattle or Los Angeles or Chicago or Gurugram or Bengaluru or United States
$180k-$240k/yr RemoteFull Time
SentiLink
SentiLink: Provides identity verification and fraud prevention for financial institutions.
8+ YOE4+ Mgmt8+ years in fraud operations/intelligence or related domain, 4+ years managing fraud analysts, strong operational rigor, analytics and technical fluency, experience with AI/automation and talent development.