Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization.

Data is the voice of all our customers – merchants, buyers, developers – and hearing this voice clearly is critical to us making commerce better for them. As an Analytics Engineer, your primary responsibilities will be to build a first class data warehouse. Our Analytics Engineering team will unlock a large number of analyses on varied topics not only now but in the future and will also provide a complete view of Shopify’s product and business.

Example day to day responsibilities include:

• Leading Analytic Engineering members and managers.
• Developing a roadmap of deliverables in collaboration with key stakeholders
• Partnering as a member of the Analytics Engineering founding team to influence and create this greenfield space at Shopify
• Creating and implementing architecture and standards for all the Analytic Engineering teams
• Collaborate with sister disciplines (Engineering, Data Science) to establish best practices
• Working with business partners to understand requirements 
• Working with developers to understand how data is produced
• Designing, building, profiling, and documenting our datasets and the jobs that build them
• Debating whether leading or trailing commas are better
• Writing data transformations using dbt or Spark