You will own the analytical relationship with the marketing function, building models and dashboards to drive decision-making. Additionally, you will manage the marketing measurement architecture, including attribution, event taxonomy, and data quality standards.
You will own the multi-surface customer experience across web, mobile, and API, driving product-wide capabilities like search, audit trails, and account management. You are responsible for prioritizing the roadmap, shaping platform architecture, and integrating AI-powered features to enhance user trust and product adoption.
The role focuses on increasing the zero-touch rate of financial document extraction through forensic data investigation and ML engineering. Key tasks include building embedding-based entity matching services and an OCR correction layer to minimize manual corrections.
Design and maintain scalable ELT pipelines and production-grade data models on Azure and Databricks. Lead engineering quality, mentor the analytics team, and prepare the data platform for AI/ML and agentic readiness.
The Senior Analyst will partner with Marketing, Revenue, and Product leadership to deliver actionable insights and build analytical models. They will also establish analytics standards, governance, and self-service capabilities to enable data-driven decision-making across the business.
