Manager, Trust Business Intelligence & Insights

LINKEDIN

Mountain View, CA, United States
Base: $116,000 to $193,000; bonus/equity: annual p...
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Data science
Data management
Analytics
** LinkedIn is seeking a Manager for their Trust Business Intelligence & Insights team in Mountain View, CA, to lead a cross-functional group focused on data science and analytics to enhance member safety and platform integrity. The ideal candidate will possess extensive experience in data-related roles, strong leadership skills, and the ability to translate complex data insights into actionable narratives. **

Job Summary

  • Lead a talented team of analysts while partnering closely with product, trust, engineering, policy, and data science teams to build models and insights that help keep members and our platform safe.
  • Define and execute a multi-year vision for Trust Ops Data initiatives supporting LinkedIn’s trust and operational goals, while leading and developing high-performing teams of analysts across geographies.
  • Leverage the world’s richest professional dataset to uncover insights that improve member engagement, marketplace integrity, and business growth, and translate analytical findings into clear, compelling narratives that influence executive decision-making.

Matching Summary

Match Score: 75

** LinkedIn is seeking a Manager for their Trust Business Intelligence & Insights team in Mountain View, CA, to lead a cross-functional group focused on data science and analytics to enhance member safety and platform integrity. The ideal candidate will possess extensive experience in data-related roles, strong leadership skills, and the ability to translate complex data insights into actionable narratives. **

Salary

Base: $116,000 to $193,000; Bonus/Equity: annual performance bonus, stock, and/or other applicable incentive compensation plans; Benefits: generous health and wellness programs and time away

Skills & Requirements

Must-have

  • Data Science
  • Data Management
  • Analytics
  • Strategy
  • SQL
  • Python or R or Java
  • Large-scale distributed data systems

Nice-to-have

  • Cross-functional leadership
  • Executive decision-making
  • Trust & Safety domain
  • Applied statistics
  • Causal inference
  • Machine learning
  • Communication and storytelling

Key Requirements

  • 10+ years of experience in Data Science, Business Intelligence, or Analyst roles
  • 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
  • BA/BS in a quantitative discipline or equivalent practical experience
  • Experience with large-scale distributed data systems
  • Experience designing and analyzing large data sets and applying statistical modeling techniques

Work Rights

Not specified

Tailored Resume

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