Senior Product Analyst, Toast

• Bachelor's degree in Business, Computer Science, Information Systems, or a related field with a minimum of 8 years of experience in Product Analytics, Data Analysis, Data Science or related field; or a Master’s degree with 6 years of related experience; or a PhD with 3 years of experience; or equivalent experience
• Strong understanding of how analytics supports product development and experience with metric design and standard reporting practices
• Robust methods for QAing data to ensure accuracy and completeness
• Strong SQL & statistical data modeling skills (e.g. SQL, Python, R)
• Advanced knowledge of ETL, data pipelining practices, and data model design
• Experience translating stakeholder needs and requirements into data architecture and dashboard and reporting assets
• Hands-on experience with product analytics and dashboarding tools (i.e. Amplitude, Heap, Pendo, Tableau, Hex)
• Experience with A/B testing, experimentation and behavioral analytics
• 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

Desirable

• As a Senior Product Analyst for Toast you’ll work closely with the product teams to understand customer behavior and help inform where we focus our R&D efforts
• You will build measurement frameworks, dashboards, and utilize AI tooling to bring data, analytics and insights into the product development process supporting a specific line of business while ensuring consistency and integration across products
• 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 working deeply with leadership on product performance and customer outcomes
• 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
• This is a trusted advisor role and you love ensuring data is driving solid decision making and improving our products and customer experience everyday
• 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
• Partner with counterparts in product, engineering, data infrastructure, 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 and product data to build strategies for continuous improvement of the reporting capabilities of that data
• Write SQL queries and use analytics tools to create datasets that support product, operational, and revenue reporting needs, including statistical modeling and forecasting
• Build scalable and sustainable 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
• Influence an experimentation culture and build the data structures and processes necessary to use experimentation to improve product development
• Act as a trusted advisor to stakeholders bringing insights and analyses forward in product and leadership forums as a cross-functional partner
• Work cross-functionally with Engineering, Data/Analytics Engineering, Business Intelligence, and Data Platform teams to ensure a unified approach to analytics
• Provide training and enablement for self-service capabilities using the analytics tool stack