About The Role

Join Kodiak, a leader in the autonomous trucking industry, as a Senior Product Analyst. In this role, you will provide actionable insights that shape product development and customer-facing outcomes for driverless trucks. You will work closely with cross-functional teams, define success metrics, analyze system and product performance, and translate findings into actions that accelerate product improvement and reliability. This position offers a remote-friendly work environment, generous benefits, and opportunities for professional growth.

Definir y rastrear KPIs relacionados con la autonomía y el rendimiento operativo, la productividad, la fiabilidad y la seguridad.
Colaborar con otros miembros del equipo de datos para mejorar el seguimiento, la instrumentación y las tuberías de datos.
Construir paneles de control e informes para dar a los equipos de Producto e Ingeniería visibilidad sobre las tendencias de rendimiento.
Problem-solving: Experience structuring highly ambiguous and complex problems into clear, data-driven insights
Business acumen: Experience connecting the dots between technical metrics and real-world business outcomes (e.g., fleet utilization, cost per mile, customer adoption)
Degree in data analytics or data science, or equivalent work experience
Cross-functional collaboration: Track record of partnering closely with Product Managers, Engineers, and Operations to align data insights with customer and product priorities
Technical fluency: Skilled in querying large datasets efficiently with python and in Kibana. Experience creating dashboards and automating reporting
Leadership: Experience leading Product Analytics teams and mentoring junior analysts
Domain curiosity: Interest in autonomous systems, logistics, or mobility technology — eager to learn the nuances of safety, reliability, and scaling operations in autonomy
Storytelling skills: Skilled at translating complex data into narratives that influence product direction and decision-making
Analytical rigor: 5+ years of experience in product analytics in high-growth tech environments

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