Analytics Engineer

Anduril is a defense technology company, bringing Silicon Valley talent and funding to the defense sector. Our technology helps our customers solve their toughest challenges by enabling them to make better, more informed decisions in life-and-death situations. We’ve assembled a diverse team of experts in artificial intelligence, computer vision, sensor fusion, optics, and data analysis that are creating software and hardware solutions to radically evolve the capabilities of the United States and our allies.

As a Analytics Engineer on the Data Operations team, you will own the data models that inform the operational decision making at Anduril. In this role, you will partner with analysts and teams across the business — from our Tower and Drone teams to our Supply Chain team — to unpack ambiguous problems and build lasting, scalable models that answer customer questions. You are perfect for this role if you have a strong opinion on how to create an accurate, flexible data model and can do it in half the time as your peers.

What you’ll do:

Support the Data Operations and Business Operations team by owning the development of the core data models at Anduril
Own the development of data pipelines through to the creation of new dashboards to help the business manage its different business and product lines
Support the development of an asset tracking system so Anduril can more effectively manage and monitor it’s core products
Serve as the go-to expert for the operations teams on issues relating to data integrity and data availability, including owning the testing and monitoring of the data in the Data Warehouse to ensure data accuracy
Create Anduril’s first data dictionary to make the current data easily searchable for all users across the company
Partner with our Data Engineering team to create new data pipelines to integrate data that comes from our products
Proactively identify operational pain points and inefficiencies with cross-functional partners and develop new tools and automated process to solve them

Qualifications:

You are technically proficient: You have 3+ years as an either a business analyst, data analyst, or data scientist and are fluent in SQL (we use dbt!)
You have have experience developing data pipelines using dbt, Airflow, or Fivetran and have learned some best practices along the way for working in a Data Warehouse environment like Redshift, Snowflake, or BigQuery
You’ve had a hand in developing a company’s data architecture at a high-growth startup in a way that’s built to last
You like to build and enjoy iterating on things quickly.
You have a strong bias for action and like to work with high autonomy
You are intellectually tenacious and take pride in your work
Intellectual tenacity means not being satisfied with the status quo
Taking pride in your work means producing something that — if you were the consumer — you’d enthusiastically use
You lean into acknowledging your weaknesses and take the idea of feedback and growth seriously
You get energy from being a thought partner for others and it excites you to spend time translating operational problems into data problems, and to then going and executing on them

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