Senior Analytics Engineer

Intercom

Intercom, founded in 2011, is dedicated to revolutionizing customer service with AI-driven solutions. Their mission is supported by their flagship AI agent, Fin, designed to enhance customer experiences. Intercom's culture is rooted in innovation and delivering exceptional value to its clients. The Product Analytics Engineering team plays a pivotal role in maintaining core data models and supporting a wide array of stakeholders.

In this role you can expect to have the responsibilities:

• Act as a Data Warehouse Curator, providing clean data sets for end-user empowerment.
• Develop, optimize, and manage dbt models.
• Utilize software engineering best practices for developing and maintaining data warehouse frameworks.
• Contribute to the evolution of the Data Platform and next-gen stack design.
• Collaborate with product managers and analysts to create automation and tooling.
• Implement systems for monitoring infrastructure and data quality.

This role comes with the following benefits:

• Competitive salary and equity.
• Daily lunch and stocked kitchen.
• Regular compensation reviews.
• Pension scheme with employer matching.
• Comprehensive health and dental insurance.
• Flexible vacation and holiday policy.
• Parental leave benefits.
• Cycle-to-Work Scheme support.
• Provision of MacBooks or Windows laptops as needed.

This role requires you to have:

• Strong proficiency in SQL and data modeling.
• Extensive experience with tools like Snowflake and DBT.
• Professional expertise with a modern programming language, preferably Python.
• Experience in utilizing Apache Airflow for data workflow orchestration.
• Ability to build strong relationships with stakeholders.

You would benefit from having:

• A passion for high-quality craftsmanship.

Intercom fosters a hybrid work environment, expecting employees in the office at least twice a week, and maintains a culture of openness and inclusion. They commit to Equal Employment Opportunity, valuing diversity without discrimination.