The board
- Pay
- $98,600–$145,000/hr
- Where
- New York, NY; San Francisco, CA; San Jose, CA; Seattle, WA; Los Angeles, CA; Washington D.C.; Austin, TX; Chicago, IL
- Posted
- Jun 9
The SevenRooms Data & Analytics team is the foundational data hub powering go-to-market, product, finance, and operational decisions across the In-Store business. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption. Within the team, our product-focused analytics work owns the funnels, personas, and feature-adoption insights that inform what products and features get built, how it's launched, and how it performs in the market.
We're hiring a Data Analyst to be the data partner for our Product Management, Product Marketing, and executive teams at SevenRooms.
What you'd do
- 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
What they want
- A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
- 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.
- For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
- For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).