Analytics Engineer

About the role

Gopuff's engineering team is building solutions to dramatically change the way people purchase their daily goods. We provide the modern-day solution to meet customers' immediate everyday needs with products ranging from snacks and ice cream to household goods and beer, at the click of a button.

As an Analytics Engineer at Gopuff, you'll build and maintain the bridge between our data and the rest of the organization. This role sits on the Analytics Engineering team and is dedicated to our Supply Chain and Merchandising partners, with a secondary focus on marketing and CRM analytics. You'll own the models that our planning, allocation, and merch teams use to decide what we buy, where we place it, and how we promote it, and you'll be accountable for the integrity, reliability, and usability of that data.

What We Offer - Medical/Dental/Vision Insurance

- 401(k) Retirement Savings Plan

- HSA or FSA eligibility

- Long and Short-Term Disability Insurance

- Fitness Reimbursement Program

- 25% employee discount & FAM Membership

- Flexible PTO

- Group Life Insurance

- EAP through AllOne Health (formerly Carebridge)

Compensation - 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: $100,000 - $125,000

Responsibilities -

Design, build, and maintain the production data models that power supply chain and merchandising decisions: sales and demand, inventory position and in-stock, damage and expiration, turn, vendor fill rate, purchase orders, and allocation.

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Be the go-to data expert for these domains, with a deep understanding of our data warehouse and the processing layers feeding it.

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Partner with Supply Chain divisional teams, Merchandising, Marketing, CRM, product managers, and engineers to translate business questions into durable models and self-serve tooling rather than one-off pulls.

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Own data integrity, availability, transformation logic, and efficient data access for the domains you support.

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Build and maintain reporting and dashboards in Looker that planners and merchants use daily, and retire the manual reporting they replace.

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Support marketing and CRM analytics alongside the supply chain work: campaign and promotion performance, channel reporting.