Product Analyst

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. As a Product Analyst for Toast you’ll partner closely with product teams to understand customer behavior and product performance. You will support data-informed decision-making by building analyses, dashboards, measurement frameworks and using AI tools to help teams evaluate product changes and identify opportunities for improvement. 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. Your work will contribute to the success of our businesses. You love solving complex problems and getting to the ground truth for what’s happening in our product and with our customers. You enjoy digging into data and tying different sources together to answer business questions and uncover new insights. You’ll operate within our analytics team while supporting a specific line of business and partner directly product managers, engineers, designers, and data engineers. Most importantly, you’ll deliver scalable insights that the team can use to delight our customers. A day in the life (Responsibilities) The Product Analytics team sits inside of R&D Operations at Toast. The R&D Operations team is on a mission to empower our teams to build great products efficiently, effectively, and at scale. We remove obstacles, foster alignment, and help teams focus on what matters most—solving real problems for our customers. Operating at the intersection of Product, UX, Engineering, Marketing, and Customer Success, we ensure that teams are equipped with the right processes, strategies, and insights to drive meaningful impact. In this role, you will: Partner cross-functionally to support analytics needs for a specific product area or initiative. Write SQL queries and use analytics tools to create datasets and analyses that measure product usage, performance, and customer outcomes. Build and maintain dashboards and recurring reports that help teams monitor key metrics and trends. Support experimentation efforts by helping define success metrics and analyzing results of A/B tests and product experiments. Develop a strong understanding of product and operational data sources to ensure accurate and consistent reporting. Enable self-service capabilities and build on trustworthy datasets. Perform data quality checks and proactively identify anomalies or inconsistencies and improve data processes. Translate analytical findings into clear insights and recommendations for product teams. Contribute to shared analytics documentation, metric definitions, and best practices. Proactively identify areas outside the regular stream of business requests where analytics can add value. What you'll need to thrive (Requirements) As a Product Analyst for Toast you’ll partner closely with product teams to understand customer behavior and product performance. You will support data-informed decision-making by building analyses, dashboards, measurement frameworks and using AI tools to help teams evaluate product changes and identify opportunities for improvement. 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. Your work will contribute to the success of our businesses. You love solving complex problems and getting to the ground truth for what’s happening in our product and with our customers. You enjoy digging into data and tying different sources together to answer business questions and uncover new insights. You’ll operate within our analytics team while supporting a specific line of business and partner directly product managers, engineers, designers, and data engineers. Most importantly, you’ll deliver scalable insights that the team can use to delight our customers. A day in the life (Responsibilities) The Product Analytics team sits inside of R&D Operations at Toast. The R&D Operations team is on a mission to empower our teams to build great products efficiently, effectively, and at scale. We remove obstacles, foster alignment, and help teams focus on what matters most—solving real problems for our customers. Operating at the intersection of Product, UX, Engineering, Marketing, and Customer Success, we ensure that teams are equipped with the right processes, strategies, and insights to drive meaningful impact. In this role, you will: Partner cross-functionally to support analytics needs for a specific product area or initiative. Write SQL queries and use analytics tools to create datasets and analyses that measure product usage, performance, and customer outcomes. Build and maintain dashboards and recurring reports that help teams monitor key metrics and trends. Support experimentation efforts by helping define success metrics and analyzing results of A/B tests and product experiments. Develop a strong understanding of product and operational data sources to ensure accurate and consistent reporting. Enable self-service capabilities and build on trustworthy datasets. Perform data quality checks and proactively identify anomalies or inconsistencies and improve data processes. Translate analytical findings into clear insights and recommendations for product teams. Contribute to shared analytics documentation, metric definitions, and best practices. Proactively identify areas outside the regular stream of business requests where analytics can add value. What you'll need to thrive (Requirements) Bachelor's degree in Business, Computer Science, Information Systems, or a related field with a minimum of 5 years of experience in Product Analytics, Data Analysis, Data Science or related field; or a Master’s degree with 3 years of related experience; or equivalent experience. Strong SQL & statistical data modeling skills (e.g. SQL, Python, R) and experience working with large data sets ensuring accuracy and reliability. Strong experience with analytics and visualization tools (e.g. Amplitude, Heap, Tableau, Looker, Hex, or similar. Understanding and application of product metrics, funnels, behavioral analytics concepts, and experimentation. Strong communication and storytelling skills, with the ability to distill complex data into clear recommendations for technical and non-technical audiences. Experience translating stakeholder needs and requirements into clear analytical approaches, data architecture, dashboards and insights. A self-starter mindset - comfortable building new analytics foundations and iterating on them in a fast-moving environment. Bonus Ingredients*: Experience working in a large-scale data environment, high-growth tech or SaaS company. Experience with data modeling, ETL processes, and analytics engineering practices. Experience with Hex, Looker, Snowflake, Sigma, Airflow, GitHub, AWS, dbt, python and/or equivalent toolsets plus AI tools. Familiarity with Financial and Accounting concepts, data and reporting. Bonus Ingredients*: Experience working in a large-scale data environment, high-growth tech or SaaS company. Experience with data modeling, ETL processes, and analytics engineering practices. Experience with Hex, Looker, Snowflake, Sigma, Airflow, GitHub, AWS, dbt, python and/or equivalent toolsets plus AI tools. Familiarity with Financial and Accounting concepts, data and reporting. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. #LIREMOTE The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range $99,000—$158,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. 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 candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.