Director of Analytics

This Director role is a strategic, client-facing analytics leader within the ZX Data Science & Analytics team, responsible for transforming complex data into compelling narratives and influencing client strategy. The Director drives measurement excellence using methodologies like Test/Holdout-based incrementality, scales analytics best practices, and manages a team of analysts. Requires 10+ years of experience in analytics or marketing measurement, 3+ years in leadership, and working familiarity with Python, SQL, and Tableau.

Leads the data science organization at Figma, driving advanced analytics and machine learning initiatives to support product and business decisions. Responsible for building and mentoring a high-performing team, setting the technical roadmap, and collaborating with cross-functional leaders to deliver data-driven insights.

Leads a team of 20+ Analytics Engineers building and operating pipelines for Snowflake's internal revenue, bookings, and GTM reporting. This role drives the creation of an AI-ready data foundation, owns internal analytics agents, and champions AI-assisted engineering workflows. As a customer zero, the director engages with product teams and represents Snowflake externally.

This role leads financial services analytics, developing data-driven insights to inform business strategy. The focus is on managing analytics teams, building models, and delivering actionable recommendations to clients.

This role involves owning product direction for the full data path at Focal Systems, from retailer data imports (planograms, inventory, store metadata) through pipelines to metrics and reports. The Senior Product Manager will run discovery with retailers, set priorities for data products, and ensure they drive actionable outcomes, working closely with data engineering, data science, and customer success teams. This requires 5+ years of product management experience with technical depth in APIs, data pipelines, and hands-on SQL comfort.

This Data/Reporting Team Lead role manages a team responsible for building and maintaining reporting pipelines and dashboards for retail AI operations. The role involves designing data models, ensuring data quality, and delivering actionable insights to internal and external stakeholders. Key challenges include optimizing reporting performance and automating data workflows.

This role involves owning and evolving Focal Systems' production infrastructure, focusing on cloud, data pipelines, deployments, and observability to handle millions of images per day from retail locations globally. The engineer will architect scalable data-heavy backend infrastructure using Python, FastAPI, Kafka, Docker, and GCP, and implement CI/CD pipelines with blue/green and canary deployments. This requires 5+ years of infrastructure experience, production GCP experience, and a software development background in Python.