FreshRemote.Work

Analytics Engineer

San Francisco, CA, Washington, D.C., New York City, N.Y., Remote (USA)

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation. We have a strong preference for team players that are comfortable collaborating across teams, know how to generate understanding from data, and can deliver solutions in conjunction with product and engineering teams.

ABOUT THE ROLE 🤹

In this role, you will:

  • Work within interdisciplinary teams to help deliver product features, enable product analytics and experimentation through accurate and timely data modeling of customer data, and enable efficient product operations.
  • Deeply understand how data is generated through effective work with engineering teams. Make sure that the changes we make in our product are properly reflected in data models.
  • Confidently juggle multiple projects and priorities in our fast paced environment and work with stakeholders and analytics engineering teammates to ensure deadlines and commitments are met.
  • Work with your analytics engineering teammates to continuously iterate and improve upon our processes, best practices and technical implementation of models.
  • Build data models with the end consumer in mind, whether it be an analyst or an accountant. Own the creation of data models from source data to working with Data Analysts to properly expose the finished data models in our semantic layer (Looker).
  • Work with our data engineering and infrastructure team to define good practices for and efficiently source new data from a variety of sources, both internal and external.
  • Expertly communicate with multiple stakeholders on updates to requirements, deadlines and status of work.
  • Become an expert in multiple areas of our business and understand the logic well enough to maintain and enhance our current testing suite.

ABOUT YOU 🦄

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