Senior Analytics Engineer

Intercom Intercom · Enterprise · Berlin, Germany +2 · AI Group

This role is for a Senior Analytics Engineer within Intercom's AI Group. The primary focus is on developing and managing data pipelines and an analytics-ready data platform to support ML scientists, analysts, and business teams. Responsibilities include data modeling, quality, warehouse management, and conducting data analysis to support strategic decisions. While the role is within an AI company and supports AI initiatives, the core craft is data engineering and analytics, not direct AI/ML model development.

What you'd actually do

  1. Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
  2. Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
  3. Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
  4. Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
  5. Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.

Skills

Required

  • advanced SQL
  • data modeling
  • ETL processes
  • data pipelines
  • warehouse management
  • production support
  • data analysis
  • strategic business decisions
  • performance measurement
  • automation
  • reporting processes

Nice to have

  • dbt
  • Snowflake
  • Apache Airflow
  • DAG frameworks
  • Tableau
  • Looker
  • Google Analytics
  • Marketo
  • Salesforce
  • Segment
  • Stripe
  • Python

What the JD emphasized

  • advanced SQL
  • well-architected data models
  • optimized query performance
  • clearly documented code