Staff Product Analyst

Summary

Join Ethos, a rapidly growing Insurtech company, as a Data Analyst to contribute to product insights in a direct-to-consumer business. You will work cross-functionally, using critical thinking and analytical rigor to understand user behavior and engagement, enabling product innovation. You will also provide visibility into performance drivers, empowering data-supported decisions. This role requires a strong track record of delivering results and the ability to tackle complex challenges in a fast-paced startup environment. You will collaborate with product managers and data engineers, presenting insights and recommendations to various organizational levels, including executives. Ethos offers a mission-driven and impact-oriented environment.

Requirements

• 7+ years of experience in data analysis, data science, and/or data-driven product management
• Expert knowledge of SQL
• Expertise with data visualization tools to convey actionable insights to product managers and business leaders
• Experience in A/B testing and experimentation best practices
• Knowledge of basic statistical techniques; linear and logistic regression, confidence intervals
• Familiarity with a scripting language like Python or R
• Proven ability to work independently, multi-task, and thrive in a fast-paced environment

Responsibilities

• Work closely with PMs to define feature goals and lead A/B testing and experimentation initiatives, including designing tests, tracking events and properties, and analyzing results to understand attribution, causation, and incremental lift
• Proactively generate exploratory analyses and in-depth research on large data sets to help product teams uncover high-impact opportunities
• Use your wizardly data querying and visualization skills to answer any question in a way that provides actionable insights
• Develop easy-to-consume dashboards and frameworks to monitor and visualize KPIs
• Influence strategic changes by presenting insights and recommendations to various organizational levels, including executives
• Collaborate with data engineers to maintain consistent business logic throughout the organization
• Foster a data-driven, test-and-learn culture with your passion for storytelling through data and surfacing insights via analytics, experimentation, and research into the user journey and customer funnel