Staff Analytics Engineer, Toast

• 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 analysts, product managers, and peers throughout Toast to make data-informed decisions
• 6+ years experience in Business Intelligence, Analytics, and/or Data Engineering roles
• 4+ years experience with data modeling strategies
• 2+ 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

Desirable

• The Analytics Engineer will play an integral role on our Data Infrastructure & Performance (DIP) team
• This person will have the chance to build and support our Analytics layer in our data warehouse using DBT
• This layer aims to make our data easier to use, and insights easier to extract, than ever before
• The ideal candidate has high standards for their work, and for that of their peers. They should demonstrate a practical expertise in building enterprise solutions at scale, identifying opportunities to improve user experience, and pushing the envelope of data modeling
• Develop the Analytics layer in our data warehouse using dbt. This layer of our data warehouse will make our source data more accessible and consistent for our stakeholders, enabling them to get the data they need to make the right decisions
• Define complex business logic using SQL to help measure success across various departments & teams
• Collaborate with business partners and our product team to understand their data analytics needs, and ensure those needs are met by our dbt models
• Work closely with both the data engineering team & data systems team to ensure scalability across the BI platform
• Provide technical mentorship and leadership to team members