Analytics Engineer

Toast • Boston, MA

3d • Remote

About The Position

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Analytics Engineer will play an integral role on our Data Infrastructure & Performance (DIP) team. This person will have the chance to expand our Analytics 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. 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.

Requirements

• Experience in Business Intelligence, Analytics, and/or Data Engineering roles.
• 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.

Nice To Haves

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

Responsibilities

• Develop the Analytics layer in our data warehouse using dbt code. This layer of our data warehouse makes 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 to understand their data needs, and ensure those needs are met by our dbt models.
• Work closely with both the data engineering team to ensure scalability across the DIP platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees