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Home›Jobs›Gopuff›Senior Manager, Data & Analytics Engineering
Gopuff

About Gopuff

Fast delivery of food and essentials to your door

🏢 Tech, Retail👥 1001+ employees📅 Founded 2013📍 Northern Liberties, Philadelphia, PA💰 $5.2b⭐ 2.7
B2CRetailFoodConsumer GoodsDeliveryeCommerce

Key Highlights

  • Operates in over 1,000 cities across the U.S.
  • Raised $5.2 billion in funding since its inception
  • Employs over 1,000 people in various roles
  • Offers delivery in approximately 30 minutes

Gopuff is a leading last-mile delivery service that provides food, alcohol, and daily essentials to customers across over 1,000 cities in the U.S. and beyond. Founded in 2013 and headquartered in Northern Liberties, Philadelphia, Gopuff has raised $5.2 billion in funding and employs over 1,000 peopl...

🎁 Benefits

Gopuff offers a range of employee benefits including an equity program, annual performance bonuses, and a generous employee discount. The company also...

🌟 Culture

Gopuff's culture is rooted in its rapid delivery model, leveraging a network of micro-fulfillment centers to ensure orders are delivered in approximat...

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Gopuff

Senior Manager, Data & Analytics Engineering

Gopuff • Philadelphia, PA

Posted 1 month ago🏛️ On-SiteSeniorLeadAnalytics engineer📍 Philadelphia
Apply Now →

Job Description

At Gopuff, data sits at the heart of our strategy. We are reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. To fuel this mission, we are seeking a Senior Manager of Data and Analytics Engineering to shape and build our data strategy, drive insights and partner with leadership on critical business decisions.

In this role, you will lead Gopuff’s data and analytics engineering organization, responsible for the platform, pipelines and models that turn raw data into actionable insights across the company. You’ll partner closely with business, product and technology leaders to shape our data strategy ensuring every decision is grounded in reliable, scalable and accessible data.

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