The Team You’ll Work With

Our mission is to enable data-driven decisions and products across Carta by collecting accurate data, building scalable infrastructure and delivering advanced analytics. We believe in building a strong data foundation to ensure data quality and to promote self-service across the company. In addition, the data team works on developing proprietary data products using Carta’s rich and unique dataset. The team is split between Data Science, Machine Learning, Analytics Engineering, and Data Engineering. We like to partner with each other and with Cartans across the company to get our work done. We constantly think about how we can improve and grow.

 The Problems You’ll Solve 

As the manager of this team, you will lead your team in identifying our core metrics, creating scalable data models and building ETLs to allow internal data teams to quickly build solutions on top of the data you support. In addition, the data you will manage will be used to drive Looker dashboards and other integrations for self-service capabilities for our internal customers. You will continue to evaluate how we can use our data to help teams operationalize decision making through the various tools we have at our disposal 

Examples of responsibilities include: 

• Build out a team of highly technical Analytics Engineers
• Lead your team in developing flexible and scalable data models to simplify our complex source data
• Partner with Product & Business Data Science teams to identify, document and create cross-company core metrics
• Establish testing framework for any changes to the core models
• In partnership with Product & Business Data Science teams establish Looker training curriculum and have primary responsibility for Looker adoption
• Partner with teams throughout Carta on identifying opportunities and building solutions to help in simplifying operations while producing rich and accurate data sets for us to use
• Constantly identify opportunities for providing self-service tooling to our internal partners 

 The Impact You’ll Have

By building scalable self-service solutions you will enable easier and faster decision making. In addition, you will be able to increase productivity and accuracy of our data team, and operations and product teams as well

 About You

Successful candidates in this role will always look for a balance between fast delivery and building for scale.  You don’t follow the status quo but look for ways to improve how we do things.  You are able to talk to technical and business users and explain your work, and are able to be a good partner to your team and to your customers.  Building relationships is a priority. Even though our tool stack (Airflow, DBT, Redshift & Looker) are a good start, you will always be in the know on the latest and greatest technology we could utilize. You concentrate on automation and self service. Most importantly, you can hire and retain a highly-productive team of technical analytics engineers who are excited to solve the problems we have in front of us.   Example of problems you will solve include:

• Scaling Looker as a platform to solve operational use cases as well as increase self service adoption around the company
• Evaluating and rearchitecting our data model to support existing and future products
• Partnering with external teams to help in data modeling requirements to support analytics
• Partner with the rest of data team to develop best in class software solutions to stand up products based on our data
• Hiring and growing your team to help scale our data model development
• Partnering with Operations team to automate some of the manual work they are doing today with data we can provide 

We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at [email protected]. As a company, we value fairness, helpfulness, transparency, leadership and build our teams around these values. Check out our careers page to get to know us better as you think about your next step at Carta.