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Jessica Lachs: Why centralized data beats embedded analysts

Through pods aligned to product and ops, DoorDash centralizes data; analysts share goals with their teams, and case interviews hire for curiosity over skill.

Lenny RachitskyhostJessica Lachsguest
Jul 14, 20241h 19mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 4:59

    Jessica’s background

  2. 4:59 – 10:52

    Centralized vs. embedded analytics teams

  3. 10:52 – 15:10

    The benefits of a centralized analytics team

  4. 15:10 – 20:45

    Balancing proactive and reactive work

  5. 20:45 – 24:20

    Advice on how to push back effectively

  6. 24:20 – 28:57

    Hiring for curiosity and problem solving

  7. 28:57 – 34:40

    Coming from a non-traditional background

  8. 34:40 – 40:39

    The early days and culture at DoorDash

  9. 40:39 – 44:39

    Encouraging cross-functional roles

  10. 44:39 – 46:30

    Defining effective metrics

  11. 46:30 – 55:28

    Simplifying metrics for better outcomes

  12. 55:28 – 1:00:12

    Focusing on edge cases and fail states

  13. 1:00:12 – 1:02:31

    Managing a global data organization

  14. 1:02:31 – 1:05:25

    Leveraging AI for productivity

  15. 1:05:25 – 1:08:40

    Building diverse and skilled data teams

  16. 1:08:40 – 1:19:55

    Lightning round

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