Data Analyst, In-Store

DoorDash is a technology and logistics company focused on empowering local economies. They are seeking a Data Analyst to partner with Product Management and Marketing teams, owning product analytics and building data products to enhance reporting capabilities.

Responsibilities:

• Own product analytics end-to-end — funnels, adoption, retention, and ROI for every major feature launch on the SevenRooms platform
• Build net new data products aimed at improving analytic and reporting capabilities
• Partner with Product Managers and Product Marketers on pre-launch hypotheses, beta testing results, post-launch measurement, and ongoing optimization
• Design and ship PLG automations that translate product behavior into opportunity tagging, expansion signals, and CSM workflows
• Apply GenAI and ML techniques — partnering with our GTM Engineer — to product analytics use cases like web-sourced feature adoption opportunities, transactions predictive modeling, and Add-On ICP scoring
• Communicate closely in support of multiple PM’s with reporting and ad-hoc analysis

Requirements:

• 2+ years of experience analyzing product data and partnering with Product Management teams in a SaaS environment
• Expert SQL skills and proficiency with a cloud BI tool such as Looker, Tableau, or Mode
• Hands-on experience with product instrumentation and analytics platforms such as Pendo, Amplitude, Mixpanel, or Heap
• Demonstrated ability to translate ambiguous product questions into rigorous, scoped analyses that ship recommendations — not just dashboards
• Strong written and verbal communication skills, including comfort presenting to product and executive audiences