Director, Data Analytics

Lookout   •  

Boston, MA

8 - 10 years

Posted 238 days ago

This job is no longer available.

Lookout is a cybersecurity company that makes it possible for individuals and enterprises to be both mobile and secure. With more than 120 million mobile sensors fueling a dataset, the Lookout Security Cloud can identify connections that would otherwise go unseen -- predicting and stopping mobile attacks before they do harm. The world’s leading mobilenetworkoperators, including AT&T, Deutsche Telekom, EE, KDDI, Orange, Sprint, T-Mobile and Telstra, have selected Lookout as its preferredmobilesecurity solution. Lookout is also partnered with such enterprise leaders as Microsoft, AirWatch, Ingram Micro and MobileIron. Headquartered in San Francisco, Lookout has offices in Amsterdam, Boston, London, Sydney, Tokyo, Toronto and Washington, D.C.


  • Manage and grow a multi-site BI team
  • Manage the operational and strategic backlog of the BI team from ideation to execution, and take on selected projects as a player coach.
  • Work with cross-functional stakeholders across product, sales, finance and marketing and render their requirements into a prioritized BI backlog
  • Work with the data engineering team responsible for Lookout’s data platform and manage/prioritize BI requirements for that team
  • Manage external consultants on an as-needed basis
  • Provide business cases for BI projects to the management team
  • Business owner of the data warehouse
  • Accountable to the executive team for the success of BI team


  • Leadership abilities demonstrated through experience managing teams and projects with very high visibility across the company in a self-directed fashion
  • Solid communication skills and stakeholder management
  • Hands on experience in Tableau, SQL, Hive, Redshift
  • 8years of analytics, reporting or business intelligence experience
  • 2years leading/managing a BI team
  • Intellectual curiosity and a desire for excellence around leading teams and growing companies

Nice to have:

  • Experience in fast-paced startup environments
  • Experience and background in a technology company
  • Experience with data modeling/architecture, MapReduce, Python
  • Well versed in big data open source projects and associated ecosystems
  • BS in statistics, computer science or equivalent analytical discipline