Toast empowers restaurants of all sizes to build great teams, increase revenue, improve operations, and delight guests.

We pair our deep understanding of the restaurant industry with powerful cloud based software and restaurant-grade hardware to deliver an intuitive, all-in-one platform, across point of sale, guest marketing, digital ordering & delivery, and payroll & HR

As the Data Analyst for the Customer Experience Platform you’ll work closely with the product teams to understand our customer’s behavior and help inform where we focus our R&D efforts. We’re a scaling team in the midst of building the strategy and vision for things like AI-led support, a new onboarding experience, and PLG at Toast. We operate like a small startup with high ambitions and a focus on experimentation, testing, and iteration - getting the data right is a key to our success. You love solving complex problems and getting to the ground truth for what’s happening in our product and with our customers. You are grounded in the numbers, can work cross-functionally to tie different data sources and inputs together, and can help uncover and translate insights into customer and user needs.

About this roll* (Responsibilities)

• Partner with counterparts in product, engineering, finance, and operations departments to produce the analyses, datasets and data models necessary to measure and inform product development
• Develop deep systemic knowledge of data from operational systems (eg CRM or ERP software) and strategies for continuous improvement of the reporting capabilities of that data
• Prototype SQL queries to create datasets that support product, operational, and revenue reporting needs
• Build tools and dashboards to automate reporting and generate insights that will allow the team to quickly and accurately see how our products and processes are performing
• Proactively identify areas outside the regular stream of business requests where analytics can add value - have that “canary in a coal mine” mentality when it comes to data

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field (or proven experience in these areas)
• 3+ years professional experience in BI, Data Analytics, Data Engineering, or similar role, with a focus on understanding user and behavioral data and its relationship to business outcomes
• Robust methods for QA data to ensure accuracy and completeness
• Strong SQL & data modeling skills
• Advanced knowledge of ETL and data pipelining practices
• Ability to and comfort with disambiguating stakeholder needs and requirements

Bonus Ingredients*:

• Relevant work experience in a high-growth tech or SaaS company
• Experience using backend data from operational sources (Netsuite, Salesforce, RevPro / Zuora Revenue)
• Experience with Hex, Looker, Snowflake, Airflow, GitHub, AWS, dbt, python
• Familiarity with Financial and Accounting concepts, data and reporting