As an early team member at Rinsed, you will have the opportunity to build a great data organization from the ground up and make important strategic decisions alongside the founders.
We’ve invested heavily in our data infrastructure from day one, and believe that the insights derived from the over 2 million active car wash subscriptions we manage are key to creating our competitive advantage. Lifetime value, churn, cost-to-acquire and optimal pricing are huge untapped opportunities in this industry as it moves to a subscription model.
- As a founding team member, you'll have the opportunity to create the DNA of the product, team, and culture
- Join a lean organization where data is central to the decision making process. Since the Rinsed tool sits on top of many different point-of-sale systems, you’ll design the architecture, storage, and transformation capabilities of the data pipelines that power our product
- Own end-to-end data processes and drive outcomes. Collaborate with the rest of the engineering team to ensure quality and scalability of these data processes
- Build external- and internal-facing dashboards that enable our customers to drive value using the millions of data points we gather on their operations
- Build the tools and models to measure and define internal product goals
Suggested background
- Experience in a data analytics, data science, or data engineering role
- An “end-to-end” data analyst who believes in owning the whole stack from data cleaning to dashboard to stakeholder communication
- Proficient in writing performance SQL to generate business insights and drive better organizational decision making
- You have an entrepreneurial spirit and are adaptable to a fast-growing environment with a high tolerance for ambiguity
- A solid understanding of data warehouses and business intelligence tools
- Clear and direct communication skills about complex technical topics
- A track record of working autonomously, with strong organizational and time management skills
- A desire to continually keep up with advancements in data (engineering, analytics, science) team practices
- You want a high degree of autonomy and ownership, independently making good decisions for our customers and the business
Technologies we use
- ❄️Snowflake ❄️, Postgres, AWS, DBT, Metabase, Python
