We're looking for a Data 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 or Miami, FL office location Tuesday, Wednesday, and Thursday during business hours.
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.
Required
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
Preferred
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
Gopuff is at an inflection point. We're driving toward ambitious delivery cost and quality targets in a year that matters enormously for the business. This role exists because we need dedicated, focused expertise on the problems that most directly determine our cost structure and customer experience — and because we believe the right person can have an outsized impact quickly.
In your first 90 days, you'll build a working understanding of our dispatch inefficiencies and defect landscape, establish baseline reporting, and identify your first concrete improvement opportunities. Within six months, you'll be running experiments, driving down defect costs, and operating as a true owner of your domains — not waiting to be asked, but bringing the next question before anyone has to ask it.
- Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.
- This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.
- Base Salary Range: $72,000 - $90,000
- Medical/Dental/Vision Insurance
- 401(k) Retirement Savings Plan
- HSA or FSA eligibility
- Long and Short-Term Disability Insurance
- Mental Health Benefits
- Fitness Reimbursement Program
- 25% employee discount & FAM Membership
- Flexible PTO
- Group Life Insurance
- EAP through AllOne Health (formerly Carebridge)
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
#LI-GOPUFF
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
