FreshRemote.Work

Senior Product Data Analyst

Americas Remote

Hi, I'm Will, Head of Analytics at Customer.io. I'm looking for a new senior data analyst/analytics engineer to join our team supporting our Product organization with a particular focus on supporting our Product-Lead-Growth (PLG) initiatives and other Product team-driven priorities!

As a member of our Analytics team, we'll work together to curate our data, uncover insights, and create dashboards. By helping stakeholders across our team understand how each element of the business is operating, you'll help us move smarter and faster.

You'll be a consultant and trusted advisor to folks across our functional teams, but particularly focused on supporting our Engineering, Product, and Design (EPD) org as they work to improve our product and our customers’ experience. While data helps inform many decisions at Customer.io, it’s one factor alongside other things like customer research, our experience, and intuition. You won’t find us running experiments to figure out which of 50 shades of blue is the best one for a button color! You'll be helping us make decisions that matter.

A bit about how we work...

We get data into our Snowflake warehouse though a mix of scalable SaaS ETL tools (Stitch, Customer.io’s Data Pipelines) and engineering-managed data pipelines for data originating from our production systems. We curate that raw data into an analytics layer using dbt and then build charts and dashboards on top of that layer in Sigma or build Mixpanel dashboards based on product usage events. Sometimes we'll take that data into Sheets to build a forecast or pipe it into a specialized tool for more exploration. We're always interested in exploring new ways to unearth insights.

As our new Senior Product Data Analyst, you will...

  • Own our Product Analytics data catalogue and work with various EPD squads to ensure we’re tracking the right things in the right way to generate valuable insights.
  • Review our PLG customer journey, the data we have available, inclusive of quality, and make a plan to improve data quality and comprehensiveness to deliver a clean PLG channel dashboard and funnel.
  • Study our existing product analytics and usage data to align the team around specific “aha” moments that drive desired outcomes and metric definitions for those outcomes. You would then use these findings and metrics to, for example, work with our Growth squad to devise a series of experiments to decrease time to aha …
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