Staff Analytics Engineer

Responsibilities

• Create and own key data models in data warehouse
• Pioneer new tools and technologies for advanced analytical features
• Integrate fresh data sources for machine learning pipelines
• Collaborate with business and engineering teams for scalable architecture
• Manage ELT pipelines for reporting systems
• Guide product and engineering teams for analytics and ML requirements

Qualifications

• 5+ years of experience in analytics or data engineering
• Strong technical background with a love for complex projects
• Deep expertise in data modelling and transformation
• Hands‑on experience using tools like dbt
• Cloud data warehouse experience using platforms like Snowflake or Databricks
• Track record of building ML features for real‑time applications
• Strong tool‑evaluation skills for AI and ML readiness
• Broad programming knowledge
• Exposure to real‑time streaming frameworks like Apache Flink (insurance domain knowledge is a plus)

Core Competencies

Demonstrates expertise in data modeling, transformation, and integration for machine learning pipelines, with a strong focus on building scalable architectures and advanced analytical features. Proficient in managing ELT pipelines and collaborating with cross‑functional teams to drive analytics and machine learning initiatives.