Data Analyst, Delivery Operations

Gopuff; Philadelphia (Philadelphia County); Hybrid; USD 72,000 - 90,000; Full time

Benefits offered by this job

Medical/Dental/Vision Insurance

401(k) Retirement Savings Plan

HSA or FSA eligibility

Discretionary annual cash bonus

Equity incentive plan

Flexible PTO

Employee discount

Job summary

Gopuff is seeking a Data Analyst for its Delivery Operations team to own analytics across delivery quality, dispatch optimization, and fee strategy. You will build reporting, run experiments, and partner cross-functionally to cut costs and improve the customer experience.

You will work in a hybrid role in Philadelphia or Miami, with direct impact on DCPO and overall growth through data-driven decisions. Strong SQL, Excel, and BI tool experience required.

Qualifications

• 2–4 years of work experience in an analytical, operations, or strategy role.
• Strong SQL skills—comfortable writing queries from scratch.
• Strong Excel/Google Sheets skills for data manipulation and analysis.
• Demonstrated ownership of an analytical domain and ability to drive it forward.
• Experience using AI tools (e.g., Claude) to accelerate data analysis and reporting.
• Strong presentation skills and ability to generate buy-in from a sophisticated audience.
• Cross-functional leadership and ability to manage projects across teams.
• Excellent communication and ability to translate data for non-technical stakeholders.
• Curious, action-biased, and highly organized with attention to detail.

Responsibilities

• Own dispatch analytics end-to-end, monitoring performance and cost metrics.
• Build reporting infrastructure and dashboards; run experiments and surface insights.
• Partner with Product, Engineering, and Customer Service to implement improvements.
• Support 3PD integrations by tracking costs and reliability; surface optimization opportunities.
• Drive delivery quality by identifying root causes of defects and reducing costs.
• Analyze and help manage priority fees and distance-based delivery fees.

Skills

SQL

Excel

AI tools (Claude)

Strong presentation skills

Cross-functional leadership

Communication skills

Organized / multi-tasking

Python (basic)

Tools

Looker

Tableau

Python

Job description

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)

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.