Data Analyst – In-Store

🕒 June 9

🏄 California – Remote

🏄 California – Remote

💵 $98.6k - $145k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DoorDash

WebsiteLinkedInAll Job Openings

10,000+ employees

🍽️ Food & Beverage

📦 Logistics

🛍️ eCommerce

Food & Beverage • Logistics • eCommerce

DoorDash is a leading food delivery service that connects customers with local businesses and restaurants. By empowering local economies, DoorDash facilitates the growth and success of restaurants and retailers, offering a flexible work environment for its employees. The company emphasizes innovation and aims to redefine the local commerce experience while providing extensive benefits and opportunities for team members across various career areas.

📋 Description

• 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.

🏖️ Benefits

• 401(k) plan with employer matching • 16 weeks of paid parental leave • Wellness benefits • Commuter benefits match • Paid time off • Paid sick leave in compliance with applicable laws • Medical, dental, and vision benefits • 11 paid holidays • Disability and basic life insurance • Family-forming assistance • Mental health program