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Staff Analytics Engineer

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Salary

Zone A: $159,000 - $254,000 / Zone B: $138,000 - $221,000 / Zone C: $125,000 - $200,000

Location

Remote

Posted

Today

The Analytics Engineer will play an integral role on our Enterprise Data Solutions (EDS) team. This person will have the chance to build and support our core Analytics layer in Toast’s enterprise data warehouse and define a scalable data architecture that enables federated analytics teams across all enterprise data domains. The ideal candidate has high standards for their work, and for that of their peers. They should demonstrate a practical expertise in building enterprise data solutions at scale, identifying opportunities to improve user experience, and pushing the envelope of data modeling. We are looking for a motivated, energetic candidate with experience creatively solving data complexities of various sizes and levels of cleanliness - with the ultimate goal of enabling analytics engineers, data engineers, analysts, product managers, and peers throughout Toast to make data-informed decisions.

A day in the life (responsibilities)

  • Collaborate with domain teams to implement a hub & spoke data architecture
  • Develop the core Analytics layer in our data warehouse that serves as the hub, defining complex business logic in SQL and supplying relevant business context
  • Build an AI-ready semantic layer that is extendable across business domains
  • Partner with business stakeholders and our product team to understand their data analytics needs, and ensure those needs are met by our Analytics layer
  • Work closely with the data engineering team to ensure scalability across the platform
  • Provide technical mentorship and leadership to team members

What you'll need to thrive (requirements)

  • 6+ years experience in Business Intelligence, Analytics, and/or Data Engineering roles.
  • 4+ years experience with developing data modeling strategies.
  • 3+ years experience developing in dbt.
  • Highly proficient in SQL. You can interpret and optimize queries, for performance, written by other analysts and engineers.
  • Thrive in a fast-paced work environment and comfortable operating under ambiguity. You are up to the challenge of designing standards and best practices from the ground up, and love collaborating with colleagues to solve complex problems.
  • Bachelor's degree in an advanced quantitative field (or equivalent experience); such as mathematics, economics/finance, computer science, or physical science.

Special sauce (nonessential skills/nice to haves)

  • Experience with Airflow
  • Experience with Sigma, Hex, and/or other BI dashboard tools
  • Experience in cloud-based data warehouses, specifically Snowflake.
  • Experience with Python is a plus

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