Betterment is hiring Analytics Engineers!

[Liz_Chang]

What’s the team?
Analytics is one of the fastest growing teams at Betterment. We operate with a 360-degree view of the company, working closely with teams such as Engineering, Finance, Product, and Operations to partner and advise on creating the best experience for our users. Projects range from propensity modeling to creating beautiful dashboards that provide a pulse on the business to developing infrastructure that enables the entire Analytics team to answer key strategic questions.

The Analytics Engineering team sits at the intersection of Product Analytics, Business Intelligence, and Data Engineering - serving as the domain and technical experts that translate business needs into beautiful data products. We own data cleanliness end-to-end, from architecting and transforming raw data to self-service dashboarding to driving a Data Literacy program for business stakeholders. These projects add tremendous value to the business and we are looking for more thoughtful, driven, and curious people to push the business even further.

What’s the role?
Perhaps you’re a Data Analyst who’s always gravitated towards infrastructure or automation tools. Perhaps you’re a Data Engineer who thrives on finding the nexus of your SQL skills and business domain expertise. Perhaps you love the translation of business requirements into truly elegant tables and dashboard designs. In this role, you’ll have an opportunity to drive impact on a large scale by delivering trusted, transformed data that all of Analytics and the company will use to power product and business decisions.

• Be a key curator of data. You will build and maintain the analytics layer of our team’s data environment to make data standardized and easily accessible
• Create product launch playbooks so that we not only stay on top - but also ahead - of rapidly changing data, new product launches, and partnerships
• Maintain and performance tune our Redshift cluster. Investigate and refactor any expensive queries
• Work closely with Product and Engineering to ensure upstream product model changes integrate well with our data model; and when it doesn’t build the necessary capabilities to adjust
• Craft analytics deliverables for stakeholders such as creating dashboards or conducting analysis
• Integrate and productionize analyst and data science models
• Improve the overall Analytics team’s workflow through knowledge sharing and ensuring we have proper documentation for our data and tools

Where is the position based?
New York, NY

How can I apply?

boards.greenhouse.io

Analytics Engineer

New York, New York