Senior Data Analyst

strongDM is a customer-first, second, and third company with 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 unique because… ...data literacy is a core component of strongDM. What if we could shift focus and resources based on how customers use the product? Imagine if the marketing 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? 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.

What You'll Do:

• Architect analytical processes and procedures from the ground up by codifying key aspects of the analytics workflow (Ex: Testing systems, repeatable analyses, outlier detection, etc.)
• Educate stakeholders on data - how to read, interpret, digest and how it impacts them
• Proactive Analysis - have a strong feel for where to go…and well, go. No need to wait for the question to come up – answer your own questions!
• Data is used to help augment decision making. Know what data is crucial to the decision and present it in the most complete and clear way possible
• Define where Analytics will go - you are an early adopter on the team and will have a lot of say in how the team grows and how we get there!
• We currently use s3 lakes, redshift, jupyter lab and Redash for our tech stack, but you will drive the evolution as we grow

Requirements:

• Proficiency in SQL and Python is a must
• 4+ years of experience in a core analytics role
• Experience working at a tech startup or a high velocity engineering culture
• Previous experience building algorithms in Python are a huge plus
• Previous experience with dbt and Docker environments are a plus

Compensation:

• Competitive base (130k-170k) + equity salary packages
• Competitive benefits, including:
• Medical, dental, and vision insurance; premiums 100% paid for by the company for eligible employees and family members
• 401k, short / long-term disability, life insurance
• 6.5 weeks total PTO: vacation time + sick time + paid volunteer time off 
• Standard holidays, including Juneteenth and Veteran’s Day
• Yearly stipend for home-office setup and monthly home internet allowance
• Equity in a fast-growing startup