Toast-posted about 9 hours ago
Full-time • Mid Level
Remote
5,001-10,000 employees

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. We are building out our Product Analytics function and we are looking for a Principal Product Analyst to drive our vision forward. This is a critical role, where you will be responsible for building analytics foundations and best practices to empower data-driven decision-making across our product teams. Your work will contribute to the success of our businesses through strong partnerships and collaboration horizontally across products and deep within strategic initiatives. A day in the life (Responsibilities) A key focus of this role will be leading our measurement framework, metrics definitions, and building a reporting and analytics infrastructure to support self-service insights and our rhythm of the business. You will foster a strong data culture with product, engineering and design cross-functional stakeholders enabling teams to measure impact, understand user behavior and optimize product experiences. This is a trusted advisor role and you love ensuring data is driving solid decision making and improving our products and customer experience everyday. You will drive dashboarding, analytical studies, experimentation, modeling and a product data science roadmap enabling strategic product decisions at scale with data. 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.

  • Define and implement the measurement framework strategy, aligning with Product, Engineering and Design leadership to ensure teams have the right data and insights to make informed decisions.
  • Lead the implementation and organization-wide adoption of standard reporting, dashboards and other analytical tools into our PDLC and executive management processes.
  • Inform and recommend improvements to the current analytics infrastructure, identifying gaps and opportunities to implement scalable tooling, dashboards, and data frameworks.
  • Develop standards and best practices for product data modeling, experimentation, and dashboarding to maximize its impact.
  • Partner with Product teams to architect telemetry and logging for data capture, develop measurement strategies, data science models, and create dashboards to track product success using best-in-class reporting and AI tooling.
  • Work cross-functionally with Engineering, Data/Analytics Engineering, Business Intelligence, and Data Platform teams to ensure a unified approach to analytics.
  • Educate and evangelize data-driven decision-making ensuring Product Managers and stakeholders have the skills and tools they need to self-serve analytics.
  • Bachelor's degree in Business, Computer Science, Information Systems, or a related field with a minimum of 12 years of experience in Product Analytics, Data Analysis, Data Science or related field; or a Master’s degree with 8 years of related experience; or a PhD with 5 years of experience; or equivalent experience.
  • Strong understanding of how analytics supports product development.
  • Proven ability to lead an organization-wide data/reporting implementation, including tool adoption, data architecture best practices, and stakeholder training.
  • Experience translating stakeholder needs and requirements into scalable data architecture implementation.
  • Extensive hands-on experience with product analytics and dashboarding tools and strong SQL and statistical modeling skills (e.g., SQL, Python, R).
  • Deep understanding of A/B testing methodologies, experimentation, and behavioral analytics.
  • Advanced knowledge of data infrastructure, schema design and ETL/data pipelining practices.
  • Strong leadership and influence skills, with experience driving alignment across Product, Engineering, and Data teams.
  • Excellent communication and storytelling skills, capable of distilling complex data into clear, actionable insights for stakeholders at all levels.
  • A self-starter mindset, excited to build something from scratch and evolve it over time.
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