Senior Analytics Engineer

What's the opportunity? 

The Product Analytics Engineering team at Intercom has two main responsibilities. We provide and maintain a very important set of high quality core data models, predominantly in the Product domain. We also own various frameworks and dbt related tooling.

The combined impact enables a large group of AI Engineers, Data Scientists, BI Creators and Analysts across multiple teams to self-serve providing valuable insights for a plethora of purposes. Our work creates the solid engineering foundations for measuring how healthy our Customers are, accelerates GTM initiatives, helps the AI/ML team to continuously improve Fin, Intercom’s AI agent, or our own Customer Services team to provide an even more delightful experience for our own customers. 

We’re looking for a Senior Analytics Engineer to join us and collaborate on data-related initiatives, who is passionate about making quality data available for our stakeholders. 

What will I be doing? 

• Be a “Curator” of the Data Warehouse. Provide clean data sets to end users, modelling data in a way that empowers end users to answer their own questions. This includes working on Intercom’s Enterprise Data Model,  Metrics- and other frameworks.
• Author, Optimize and Retire dbt models
• Apply Software Engineering best practices to refine the ways we are developing, testing, deploying, organizing and documenting dbt models and our data warehouse.
• Help evolving the Data Platform by contributing to the design and implementation of the next generation of the stack, both from tooling and from a data modelling point of view.
• Collaborate with product managers, go-to-market teams as well as analysts and data scientists to build automation and tooling to support their needs in an environment where dozens of changes can be shipped daily. This includes a lot of quality-of-life tooling to automate away daily toil to help everyone focus on high value added tasks.
• Implement systems to monitor what we have built, to detect and surface both bottlenecks and problems with the infra and data quality issues.

Recent  projects the Product Analytics Team has delivered:

• Refactoring a large bunch of old, legacy models.
• Introducing support and tooling for private Snowflake schemas in Local Development Environments and ability to iterate faster with Data subsets.
• Building core models for Fin Standalone

What skills do I need? 

• You have a very strong understanding of SQL, including a knack for query optimisation, and significant experience in data modeling, warehouse design.
• You have strong professional experience or understanding of tools and technologies that are in our stack, such as Snowflake, DBT, or equivalent technologies.
• You have years of full-time, professional work experience using a modern programming language on a daily basis. Strong preference for Python
• You worked with Apache Airflow - we use Airflow extensively to orchestrate and schedule all of our data workflows.
• You have great relationships with your stakeholders, such as Analysts and Data Scientists
• You can demonstrate the impact of your work.
• You care about your craft.

Benefits 

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.