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Analytics Manager


4 days ago

Job type: Full-time

Hiring from: Anywhere

Category: Data

strongDM is a customer-first company that has a rabid fan base. When was the last time you heard things like:
* Splunk's CISO Joel Fulton says "strongDM gives you what you can’t get any other way -- the ability to see what happens, replay and analyze incidents."
* Chef's co-founder Adam Jacob says "strongDM takes the friction out of getting staff access to the systems they need."
Customers love us because:
The product rocks: strongDM fundamentally changes the relationship between InfoSec, DevOps, and end users. Enforce the controls security needs while making it easier to facilitate access.  
They can trust us: we built a technical product for technical buyers. We do not use jargon. There is no alternative but to always be technically accurate. We are not afraid to admit product gaps.  
We’re real humans: we built a serious product without taking ourselves too seriously. Each member of the team is deadly good at their job, and yet we crack jokes on the phone with customers. 
Analytics at strongDM is different.  Imagine if the entire company’s product positioning changed because you said, “Today, we’re a VPN because that’s what search volume indicates”. Imagine if the growth team invested their budget exclusively based upon your own ID-level mix modeling efforts.  And imagine if we understood each individual’s relationship with the product (within it, on the marketing site, while being exposed to any form of media), at the ID-level and cross-device? That’s analytics at strongDM.  It’s building true operations research from scratch.  The word attribution has no place here :) and we don’t base decisions on clicks.

  • Partner with the Data Engineering team to prototype and architect strongDM’s analytics program from scratch
  • Educate all teams on data - how to read, how to interpret, how to digest, how it impacts their world
  • Ability to explore and combine ID- and row-level data sets with ease
  • As hokey as it sounds, data is an instinct.  Having a strong feel for where to go and how to take a dataset there is critical
  • Dollars in, dollars out.  Your understanding of marketing and usage efforts in dollars are key to the business’ success
  • Presentation of data is an art; strong summary, visualization, and explanation skills are must-haves
  • The best analysts are also product managers; use what you uncover to drive the product forward

  • 3-5 years of applied operations research or comparable analytics experience
  • Confidence, confidence, confidence.  Own the data, own its exploration, own asking questions, just own it all
  • Experience working with all the teams and all the personalities :) they all exist here
  • Outstanding SQL skills (any modern-day data warehouse will do)

  • Industry-standard base
  • Medical, dental, and vision insurance
  • 401k, HSA, FSA, short/long-term disability
  • 3 months parental leave
  • 3 weeks PTO + standard holidays
  • Equity in a fast-growing startup
  • No travel required

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