Job Summary

Responsibilities

Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics.
Drive proactive analysis/research into high-potential green fields.
Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market.
Ensure all teams have insight to data and can answer their own first-order questions.
Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.
Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT, Matillion ETL, and Python or R.
As a part of Zapier’s all-hands philosophy, help customers via support to ensure they have the best experience possible.

Requirements

You are a skilled written communicator.

You have hands-on experience

You have proven stakeholder management expertise. 

You’re technically competent with relevant analytics tools

You combine your strong business acumen with statistical expertise