Overview
Intuit Mailchimp is the leading marketing platform for small businesses. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaigns, CRM, and analytics tools.The Data Products team at Mailchimp is responsible for building capabilities that enable peeps from across the company to make better decisions with data. What that actually looks like is working with folks from across the company to understand their needs and then surface data in a meaningful way through tools and platforms to help them drive the business forward. Day to day you’ll be building governed datasets to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker. We have a lot of tools in our toolbelt, but all with the main goal of helping Mailchimp to continue to use data more effectively.
Intuit Mailchimp is a hybrid workplace, giving employees the opportunity to collaborate in person with team members in our Atlanta and Brooklyn offices two or more days per week.
What you'll bring
- Strong technical accomplishments in SQL and data analysis skills
- Experience with MPP databases such as BigQuery, Redshift, or We use BigQuery here at Mailchimp
- Familiarity with Python, Go, Java or another OOP Most of our tools are primarily built in Python
- Familiarity with ETL orchestration tools like Apache Airflow and Google Dataflow
- Experience with data transformation orchestration tools like dbt or Dataform
- Strong business intuition and ability to understand complex business systems
- Familiarity with additional transformation platforms like Apache Spark and Beam
- Expertise in visualization technologies like Looker, Tableau, or Qlik Sense
- Experience with GCP/AWS or other cloud providers
How you will lead
- Partner with teams across the business and third parties to understand their needs and come up with end-to-end data solutions
- Model data to create core, governed data sets for the entire company to leverage
- Build scalable transformation pipelines that enable teams to easily clean up, normalize, and govern data for broad consumption
- Manage and model data in visualization tools, to provide a collaborative data analytics platform for the company
- Build tools and processes to help make the right data accessible to the right people
- Become a subject matter expert on the various datasets and tools we have at Mailchimp
- Work with Data Stewards to better document our data