• Partner with counterparts in product, engineering, data infrastructure, finance, and operations departments to produce the analyses, datasets and data models necessary to measure and inform product development. • Develop deep systemic knowledge of data from operational systems and product data to build strategies for continuous improvement of the reporting capabilities of that data. • Write SQL queries and use analytics tools to create datasets that support product, operational, and revenue reporting needs, including statistical modeling and forecasting. • Build scalable and sustainable tools and dashboards to automate reporting and generate insights that will allow the team to quickly and accurately see how our products and processes are performing. • Proactively identify areas outside the regular stream of business requests where analytics can add value - have that “canary in a coal mine” mentality when it comes to data. • Influence an experimentation culture and build the data structures and processes necessary to use experimentation to improve product development. • Act as a trusted advisor to stakeholders bringing insights and analyses forward in product and leadership forums as a cross-functional partner. • Work cross-functionally with Engineering, Data/Analytics Engineering, Business Intelligence, and Data Platform teams to ensure a unified approach to analytics. • Provide training and enablement for self-service capabilities using the analytics tool stack.