ABOUT ROCKET MONEYđź”®
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
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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
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In this role, you will:
- Understand the ins and outs of our non card revenue streams to build and maintain both quote to cash (Q2C) and non financial data models. Q2C is a series of data models that allows for highly granular levels of accounting data that powers our financial reporting.
- Work intimately with our accounting and finance teams to make sure that Q2C is kept up to date with changes in accounting policies.
- Partner with the product and engineering teams across the company to understand how data is generated and make sure that the changes we make in our product are properly handled in our 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 🦄
- You have 5+ years of working in the analytics stack within a fast paced environment and are familiar with the growing set of analytics tooling solutions. You are very comfortable working in SQL.
- You have 3+ years of production experience with dbt (particularly CI/CD) and some of the other portions of our analytics stack (BigQuery/GCP, Fivetran, Looker, Mode).
- You thrive in a fast paced environment and excel at juggling multiple projects at once.
- You are obsessively detail oriented and organized.
- You have an irresistible urge to understand the complexities of the data you’re working with. You love the puzzle of jumping into a messy data problem and peeling back the layers until you’ve figured out how everything works.
- It’s second nature for you to break down a complex problem into specific tasks and create a plan for how to tackle those tasks. You feel comfortable taking the initiative to get started on a project and are not afraid of asking for help if you hit a road block
- You have extensive experience with automated testing. You see automated testing and documentation as one of the keys to scaling.
- You are a strong written communicator. You are used to working in tickets and sprints.
- You have experience partnering with analytics teams, business stakeholders, and engineers to deliver analytics solutions to business problems. You are confident in your ability to speak with both technical and non-technical teams
- You find it enjoyable knowing a bit about adjacent technical areas and dipping your toes in when necessary
Bonus points if:
- You have experience working with accounting or financial data.
- You have worked with (e.g. built, maintained, integrated, etc.) enterprise accounting systems.
- You have strong data engineering skills but prefer the challenge of serving analytics users via value add data modeling.
WE OFFER đź’«
- Health, Dental & Vision Plans
- Competitive Pay
- Matching 401k
- Unlimited PTO
- Lunch daily
- Snacks & Coffee
- Commuter benefits
Additional information: Salary range of $130,000 - $170,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
