Data Analyst, In-Store

About the Team

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.

About the Role

We're hiring a Data Analyst to be the data partner for our Product Management, Product Marketing, and executive teams at SevenRooms. You will own the building of data products, feature launch analytics, and the PLG instrumentation that connects product usage signals back into Salesforce, Gainsight, and our outbound motions. You will report into the Manager, Data & Analytics on our Data & Analytics team in our SevenRooms organization.

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.

Pay

The national base pay range for this position within the United States, including Illinois and Colorado, is $98,600—$145,000 USD. The successful candidate’s starting pay will fall within this range and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. In addition to base salary, the compensation for this role includes opportunities for equity grants.

Benefits

• Comprehensive benefits package including medical, dental, and vision benefits.
• 401(k) plan with employer matching.
• 16 weeks of paid parental leave.
• Wellness benefits and commuter benefits match.
• Paid time off and paid sick leave in compliance with applicable laws (e.g., Colorado Healthy Families and Workplaces Act).
• 11 paid holidays.
• Disability and basic life insurance.
• Family-forming assistance and a mental health program.

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).