Lead Data Analyst
Core
Lead data analyst and strategic partner shaping data flow, AI/ML system consumption, and analytics insights for enterprise decision-makers at RBC.
Role type
Senior IC Lead Data Analyst / Analytics Engineer
Builds
Enterprise-wide data platform, AI-ready data pipelines, executive dashboards, and scorecards.
Domain
Financial Services / Data Engineering & AI/ML Infrastructure
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Enterprise-scale data analysis, SQL (complex joins, window functions, optimization), Data mapping & acceptance criteria, UAT leadership, Production validation, Stakeholder communication, AI/ML workflow understanding, Event streaming (Kafka, schema registries), Modern data platforms (Warehouses, Lakehouses)
Preferred skills
Financial services domain, LLM/GenAI integration (RAG, embeddings), CI/CD for data pipelines, Cloud-native platforms (OpenShift, Kubernetes, S3), MongoDB, BI tools (Tableau, Power BI)
Technologies
Kafka, Delta Lake, Iceberg, GitHub Actions, MongoDB, OpenShift, Kubernetes, S3, Elasticsearch, Logstash, Kibana, Tableau, Power BI
Responsibilities
Lead requirements definition and translate business needs into technical specifications; Drive deep-dive analyses on customer behavior and product performance; Architect and own dashboards and executive reporting frameworks; Act as technical bridge between business, engineering, and data science teams; Lead production readiness reviews and continuous improvement cycles; Mentor junior analysts and engineers.
Seniority
Senior, hands-on IC with leadership responsibilities
