We are a rapidly growing company that’s revolutionizing the way the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, guest-facing technology, and award-winning customer support. Join us as we empower the restaurant community to delight guests, do what they love, and thrive.
Bready* to make a change?
As a Data & BI Analyst, you will be responsible for transforming complex data into clear, actionable insights that drive strategic decisions across the business. You’ll build and maintain dashboards, perform ad-hoc analyses, and support teams with data-driven reporting. Using tools like SQL, Python, Hex, and Looker, you’ll monitor key performance indicators, identify trends, and help uncover opportunities and risks. Your work will play a critical role in enabling informed decision-making across functions such as risk, and operations
- Collaborate with business and operations teams to define, track, and maintain KPIs and KRIs that align with company-wide goals
- Analyze large and complex datasets using SQL and Python to surface trends, flag risks, and recommend optimizations
- Build and manage collaborative, self-serve dashboards and data applications using Hex to drive decision-making at all levels
- Translate raw data into clear insights, reports, and visualizations that deliver business value and operational impact
- Conduct root-cause and variance analysis on performance data to highlight key issues and opportunities
- Develop and optimize ETL pipelines and support scalable data workflows using Snowflake and Python-based tooling
- Ensure high data quality and governance through documentation, validation checks, and best practices
- Act as a data translator between technical teams and business stakeholders, fostering a data-driven culture across the organization
- Bachelor’s degree in a technical or analytical field (e.g., Data Science, Statistics, Computer Science, Engineering, Economics)
- 2–5 years of experience in a Data Analyst, BI Analyst, or similar analytics role
- Strong proficiency in Python for data analysis, automation, and reporting (e.g., pandas, NumPy, seaborn, matplotlib)
- Advanced SQL skills for querying large datasets across multiple sources
- Hands-on experience with cloud data warehouses, particularly Snowflake
- Experience building interactive, real-time dashboards in Hex or similar BI tools
- Familiarity with Git and collaborative analytics workflows (e.g., version-controlled notebooks or analytics repos)
- Strong ability to analyze and “own” data end-to-end — slicing, interpreting, and bringing clarity to business and operational questions
- High attention to detail and a strong sense of data accountability
- Understanding and experience building credit risk management dashboards
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [email protected].
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