Staff Analytics Engineer

Summary

Join Toast's Data Infrastructure & Performance (DIP) team as an Analytics Engineer and play an integral role in building and supporting the analytics layer in our data warehouse using DBT. You will develop this layer to make data more accessible and insights easier to extract. The ideal candidate possesses high standards, expertise in building enterprise solutions, and experience creatively solving data complexities. You will collaborate with various teams to understand their data needs and ensure those needs are met. This role requires strong SQL skills and experience with data modeling and dbt. The position offers a competitive salary and benefits package.

Requirements

• 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

Responsibilities

• Develop the Analytics layer in our data warehouse using dbt
• 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

Preferred Qualifications

• 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

Benefits

• Competitive compensation and benefits programs
• Cash compensation (overtime, bonus/commissions if eligible)
• Equity
• Benefits