Overview
On Site
Full Time
Skills
Financial technology
QuickBooks
Business intelligence
Modeling
Analytical skill
Data Science
Management
Build tools
SQL
Data Analysis
Data
Business systems
Transformation
Apache Spark
MPP
Database
Amazon Redshift
Snow flake schema
MailChimp
Visualization
Tableau
Qlik Sense
Google Cloud Platform
Google Cloud
Amazon Web Services
Cloud computing
Java
Python
Extract
transform
load
Orchestration
Apache Airflow
Data flow
Job Details
Company Overview
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.
Responsibilities
Qualifications
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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.
Responsibilities
- 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
Qualifications
- Strong technical accomplishments in SQL and data analysis skills
- 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
- 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
- Experience with Google Cloud Platform/AWS or other cloud providers is preferred
- Familiarity with Python, Go, Java or another OOP language. Most of our tools are primarily built in Python
- Familiarity with ETL orchestration tools like Apache Airflow and Google Dataflow
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