Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Data Products team at Mailchimp is responsible for building capabilities on top of our BI platform that enables 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, across tools and teams, to help them drive the business forward. Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense. 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.

Qualifications

Strong Experience with GCP/AWS
Strong Experience with Python, Go, Java or another OOP language. Most of our tools are primarily built in Python
Experience with ETL orchestration tools like Apache Airflow and Google Dataflow
Strong technical accomplishments in SQL and data analysis skills
Experience with data transformation tools like dbt or Dataform
Experience with MPP databases such as BigQuery, Redshift, or Snowflake. We use BigQuery here at Mailchimp
Expertise in visualization technologies like Looker, Tableau, or Qlik Sense
Strong business intuition and ability to understand complex business systems

Responsibilities

Be able to implement the hardest part of our data capabilities to provide a world class data platform for Mailchimp
Partner with teams across the business and third parties to understand their needs and come up with end-to-end data solutions
Build robust batch and streaming pipelines to send data to and from a variety of data sources (internal and third party) and our data warehouse
Build scalable transformation pipelines that enables teams to easily clean up, normalize, and govern data for broad consumption
Manage and model data in Looker, 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

Our workspaces and technology are always evolving to support collaboration, innovation, and spark creativity. Take a sneak peek at our office in Atlanta where our Mailchimp teams are headquartered.

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Emily Intuit employee

"One of the things that stands out about Intuit is the impact that we have on our customers. Whether it's helping them yearly with their taxes or every day with their finances, it is truly satisfying to know that we’re using our resources and knowledge to power prosperity for millions of people around the world."

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