Analytics Engineer

Descript•San Francisco, CA

63d•$170,000 - $208,000•Hybrid

About The Position

Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. As an early member on the data team, you will build out our data foundation across product and marketing. If you are curious, excited about working cross-functionally, and motivated by having a huge impact on the business, this role could be a good fit for you! About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company.

Requirements

7+ years of experience in Analytics Engineering, Data Engineering, or Data Analytics
Proficiency in SQL, Python, and dbt
Strong communication skills and the ability to translate business needs into tractable work items
Extensive experience with prosumer and/or enterprise SaaS products
Curiosity, savviness to navigate in a dynamic environment, and a growth mindset

Responsibilities

Design, develop, and optimize robust data models to facilitate seamless reporting, analysis, and experimentation for marketing, product, and finance teams.
Spearhead the creation of advanced marketing pipelines, ensuring data flows efficiently and accurately to support customer segmentation, campaign optimization, and ROI analysis.
Collaborate closely with cross-functional teams to refine metrics and build intuitive dashboards that empower stakeholders with actionable insights.
Standardize, monitor, and document data assets, ensuring data integrity and consistency throughout our analytics infrastructure.