August 21
• You will work with our internal data to create both internal and external dashboards / reports using SQL and BI tools (Looker). You will also create dynamic, self-serve models in Google Sheets to allow team members to understand the relationships between certain inputs and outputs. • You will take workflows from across the organization (largely in the core operations function) and make technology- / data-centric improvements to either fully or partially automate them. You will work to understand the underlying goal of the pre-existing workflow and work from first principles to determine how it can be made more efficient (or overhauled to serve the same purpose with higher fidelity and a lower time burden) • You will coordinate with sales, product, and our core operations team to understand data needs to know where to focus and what to build. You will also occasionally lead projects that require high levels of collaboration / coordination across multiple functions.
• 3+ years of experience in a generalist role with a strong analytical focus in a dynamic environment. • Laser-focus on architecting solutions that are both efficient and effective. • A desire to get deep in the weeds to understand how processes function and how they’re connected to driving key company metrics. • An ability to get your hands dirty and build, being tactical for the short term and strategic for the long term. • Are extremely organized and excel at building out or implementing systems to maintain and enable access to highly-specific and technical information. Can solve problems by understanding the root cause and coming up with solutions that work not just for the current state, but that will work under predicted future complexity and growth. • A strong track record of juggling multiple initiatives and clear ability to prioritize the most important things. Strong analytical skills; it’s expected that you’ll be an Excel / Google Sheets maestro, with SQL mastery, and the ability to become fluent in BI tools like Looker. • The ability to conduct complex analyses and present them in a way that is clear and concise. Understand the fundamental mechanics of building out dynamic, self-serve models to allow team members to toggle certain inputs and understand the impact on outputs.
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