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.

We're Excited About This Opportunity

• You will own product analytics end-to-end — funnels, adoption, retention, and ROI for every major feature launch on the SevenRooms platform.
• You will build net new data products aimed at improving analytic and reporting capabilities.
• You will partner with Product Managers and Product Marketers on pre-launch hypotheses, beta testing results, post-launch measurement, and ongoing optimization.
• You will design and ship PLG automations that translate product behavior into opportunity tagging, expansion signals, and CSM workflows.
• You will 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.
• You will communicate closely in support of multiple PM’s with reporting and ad-hoc analysis.

We're Excited About You

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

We Expect This Position to Be Filled By

8/9/26 The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants.

Pay

Compensation
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants.

Benefits

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

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