Senior Analytics Engineer

Salary

Salary range of $130,000 - $170,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Be the owner of our in-house accounting data product, quote to cash (Q2C). Q2C is a series of data models that allows for individual level accounting, mapping user events to business logic, 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 that build revenue generating products (e.g. premium, our credit card, bill negotiations, etc.) to understand how data is generated and make sure that the changes we make in our product are properly handled in our data models.
Be the expert on our financial data. Be the trusted person that members of the data team and leadership at large can turn to when they want to better understand the details of our financial data.
Work with your analytics engineering teammates to continuously iterate and improve upon how we use dbt.
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).

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 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.

You have experience working with accounting or financial data.
You have worked with (e.g. built, maintained, integrated, etc.) enterprise accounting systems.

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