Sr. Analyst, Delivery Operations

Gopuff•Philadelphia, PA

4d•$72,000 - $90,000•Hybrid

About The Position

We're looking for a Sr. Analyst to join our Delivery Operations team with a focus on three high-impact domains: delivery quality , dispatch optimization , and fee strategy . Dispatch is the engine behind our delivery speed and cost efficiency — it determines how orders are batched, routed, and fulfilled, and it directly drives one of our most important financial metrics: Delivery Cost Per Order (DCPO). Delivery quality is about reducing the defects — cancellations, did-not-receives, and other failure modes — that cost us money and erode the customer experience. Fee strategy is about maximizing incremental revenue from our growing fee framework while protecting the customer experience and long-term order volume. This is not a passive analytics role. You'll own these domains end-to-end: building the reporting infrastructure, running experiments, identifying inefficiencies, and partnering cross-functionally to implement solutions. You'll have real ownership over work that has a direct and measurable impact on Gopuff's bottom line. This is a hybrid position, reporting to the Philadelphia, PA HQ location Tuesday, Wednesday, and Thursday during business hours.

Requirements

2–4 years of work experience in an analytical, operations, or strategy role
Strong SQL skills — you're comfortable writing queries from scratch to answer ambiguous business questions
Strong Excel / Google Sheets skills for data manipulation and analysis
Demonstrated ability to take ownership of an analytical domain and drive it forward independently
Proficiency using AI tools (e.g., Claude) as a core part of your analytical workflow — for accelerating data analysis, synthesizing findings, building reports, and drafting recommendations
Strong presentation skills — able to synthesize complex datasets into clear, actionable insights and generate buy-in from a sophisticated audience
Cross-functional leadership — comfortable project managing across teams, bringing stakeholders together, and driving initiatives to completion
Strong communication skills — you can translate complex data into clear, actionable insights for non-technical stakeholders
Intellectually curious, with a bias toward action and a willingness to get into the weeds
Highly organized; able to manage multiple workstreams simultaneously without losing track of details

Nice To Haves

Experience with BI tools (Looker, Tableau, or similar)
Familiarity with A/B testing and experiment design
Experience in logistics, marketplace, delivery, or gig economy operations
Experience with more advanced AI tooling — such as Claude Code, building automated analytical workflows, or using AI to reduce manual reporting overhead
Basic coding experience (Python or similar) is a plus but not required

Responsibilities

Own dispatch analytics : Monitor and analyze dispatch performance including delivery times, batching efficiency, order type prioritization, and cost metrics. Identify opportunities to improve efficiency and reduce DCPO.
Support 3PD integrations : Serve as the analytical and operational point of contact for third-party delivery partners (Uber Direct, DoorDash Drive, and others). Track costs, monitor reliability, and surface insights to drive better outcomes.
Drive delivery quality : Build defect tracking and reporting from the ground up. Identify root causes of cancellations, DNRs, and other failure modes. Partner with operations, CS, and product to drive systemic reduction in defect costs.
Support fee strategy : Analyze and help manage priority fees and distance-based delivery fee frameworks. Balance incremental revenue generation against customer retention and repurchase rates to optimize for overall financial impact.
AI-Driven analytics & reporting : Build dashboards and automated reporting that give the team clear visibility into KPIs and operational health. Leverage AI tools (e.g., Claude) and modern analytical workflows to dramatically accelerate the pace of insight generation — from data querying and anomaly detection to synthesizing findings and drafting recommendations.
Experiment and iterate : Design and run A/B tests and other experiments on dispatch settings, partner incentives, and operational levers. Translate results into actionable recommendations.
Collaborate cross-functionally : Work closely with Product, Engineering, and Customer Service to turn analytical insights into real operational improvements.