Rocket Money is a subscription manager that helps find and cancel unwanted subscriptions, and helps you create a custom budget to track monthly spending and expenses. Backed by Accel.
About the role
Be a trusted builder, architect, and consultant on the analytics data we surface to our stakeholders. You'll learn the intricacies of our source data, how we transform it, how we monitor for integrity, and continue to move the needle on the partnership needed to maximize value for the business. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of experience in analytics engineering, data engineering, or related roles
- You judge your work by its usability to your stakeholders over the long-term, not just by speed of delivery, underlying architecture elegance, or immediate use case
- Production dbt experience. You understand model materialization strategies, testing, macros, and how to keep a growing project maintainable
- 2+ years of experience with BI tools (Looker preferred) and an understanding of how modeling choices shape what's possible in the analytics layer
- Strong cross-functional communication skills and the ability to influence stakeholder & business decisions
- Strong problem decomposition: you can understand the underlying problem in requests that you receive and align them with our modeling roadmap and architecture
More about this role
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.
The Analytics Engineering team's mission is to make data consistent, trustworthy, and easy to use. We build the dimensional models that power business decisions, and we own the integrity of the data those decisions rest on.
We work in a semi-embedded structure: Analytics Engineers sit close to the Data Analyst teams they support while remaining part of a central Analytics Engineering practice. Day to day, that means translating business questions into technical requirements, modeling ingested source data into shapes the business can actually use, and partnering with engineering teams on the upstream data we depend on.
We're looking for a Senior Analytics Engineer to help shape that architecture as it grows. You'll build and iterate on our star schema, surfacing models that Data Analysts and stakeholders across the business can self-serve against with confidence. Done well, this work raises the data literacy of...
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