• 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