Business Analytics Lead, Coast

• This person should be curious, self-starter and collaborative to deliver on various top business priorities and identify new opportunities for improvement
• 4–6+ years in a data analyst or business analyst role (ideally at a startup or high-growth company)
• Analytical thinker who can translate messy data into clear, actionable insights
• Experienced with BI tools and data visualization, and excited to bring creative ideas for how we present and interact with data
• Curious, scrappy, and driven by impact—not just perfect models
• Great communicator who can distill complexity and influence decision
• Comfortable working in ambiguity and helping build processes from the ground up
• You are practical and business-minded, smart and creative, and excited about the rewards and volatility of an early-stage venture-backed startup

Desirable

• As a founding hire on the Business Analytics team, you will be key to driving the data foundations at Coast
• This role provides a great opportunity for growth as you will interact daily with the head of various functions (Sales, Marketing, Product, Operations, Legal, Finance and the CEO) to deliver on various initiatives
• Develop and maintain robust analytical frameworks, dashboards, and KPIs that translate complex data into clear, actionable insights for all stakeholders
• Own key dashboards and KPIs that help us monitor performance and spot opportunities. Ensure leadership has the insights they need to make decisions fast
• Partner with data engineering to define clean, consistent, well-modeled data tables and metrics that power analytics across the org
• Regularly engage with sales, product, finance, customer support and compliance teams to understand their needs and tailor analytical solutions that support regulatory compliance, risk management, customer acquisition, and service improvements
• Conduct in-depth ad-hoc analyses to support strategic business initiatives and identify growth opportunities or operational inefficiencies - exploratory analyses on growth, operations, pricing, marketing ROI, customer segmentation, and more
• Continuously monitor and evaluate key business metrics, providing recommendations for improvement based on trends and predictive analytics
• Ensure the rest of the organization can perform simple queries independently by providing right BI tools + data visibility (e.g. data dictionaries, standard views)