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.
Be the go-to data expert for these domains, with a deep understanding of our data warehouse and the processing layers feeding it.
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.
Own data integrity, availability, transformation logic, and efficient data access for the domains you support.
Build and maintain reporting and dashboards in Looker that planners and merchants use daily, and retire the manual reporting they replace.
Support marketing and CRM analytics alongside the supply chain work: campaign and promotion performance, channel reporting.
Identify gaps in existing data, write data product specs, and work with engineering teams to get the right tracking in place.
Automate wherever possible, and build testing and monitoring so data quality problems surface before stakeholders find them.
Document your models so every stakeholder can find, understand, and trust the data without asking you first.
Preferred Qualifications
Experience with ETL/ELT tooling (bonus points for dbt).
Strong knowledge of data warehousing concepts, big data technologies, and analytics platforms. Snowflake, Redshift, and/or Azure experience strongly preferred.
Exposure to supply chain, inventory, merchandise planning, or allocation data. You don't need years of planning experience, but familiarity with concepts like model stock, lead time, replenishment cycles, sell-through, and turn will get you productive faster.
Experience with marketing or CRM analytics: campaign performance, promotion lift, channel attribution, or customer segmentation.
Experience with demand planning or ERP systems such as JustEnough or Kinaxis.
Comfort working with AI-assisted development tools. We use assistants like Claude in our day-to-day analytics engineering work, and we value engineers who use them well: accelerating model development, SQL review, testing, and documentation while independently verifying outputs and knowing when the tool is the wrong answer.
Alcohol beverage or CPG category experience is a plus.
Minimum Qualifications
Bachelor's in Engineering, Computer Science, Information Systems, Business, or another quantitative discipline.
3+ years of experience building data models that integrate complex and disparate data sources, using tools such as dbt.
Expert in SQL and database table design, able to write structured and efficient queries against large datasets. Advanced Excel skills for partner collaboration.
1+ years building and maintaining reporting and dashboards in Looker or a comparable BI tool.
Strong analytical judgment: able to move from raw data to a clear recommendation, and to explain the 'so what' to business partners who will act on it.
Excellent communication skills, with the ability to translate business needs into tractable work items and to explain technical trade-offs to non-technical partners.
Top-notch organizational skills and the ability to manage multiple projects in a fast-paced environment.
Move fast, be a team player, always be learning, and give back.
Skills Required
- Bachelor's degree in Engineering, Computer Science, Information Systems, Business, or another quantitative discipline
- 3+ years of experience building data models integrating complex and disparate data sources
- Expert-level SQL and database table design skills
- Ability to write structured and efficient queries against large datasets
- Advanced Excel skills
- At least 1 year of experience building and maintaining reporting and dashboards in Looker or a comparable BI tool
- Strong analytical judgment and ability to translate raw data into clear recommendations
- Excellent communication skills with technical and non-technical stakeholders
- Ability to translate business needs into tractable work items and explain technical trade-offs
- Strong organizational skills and ability to manage multiple projects in a fast-paced environment
- Experience with ETL/ELT tooling, preferably dbt
- Knowledge of data warehousing concepts, big data technologies, and analytics platforms
- Experience with Snowflake, Redshift, and/or Azure
- Exposure to supply chain, inventory, merchandise planning, or allocation data
- Experience with marketing or CRM analytics
- Experience with demand planning or ERP systems such as JustEnough or Kinaxis
- Comfort working with AI-assisted development tools such as Claude
- Alcohol beverage or CPG category experience
Gopuff Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gopuff and has not been reviewed or approved by Gopuff.
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Healthcare Strength — Core medical, dental, and vision coverage is described for eligible full-time roles, alongside access to an Employee Assistance Program and options like HSA/FSA. Job postings indicate these benefits are part of the standard package.
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Retirement Support — A 401(k) plan is offered to eligible employees, signaling support for long-term savings. Several role descriptions also reference additional financial programs such as bonus or equity eligibility.
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Parental & Family Support — Paid parental leave and family-building benefits are highlighted for eligible employees, with fertility support noted in company materials. These offerings complement broader PTO and sick-time programs in corporate and many field roles.
Gopuff Insights
What We Do
Gopuff is the go-to solution for immediate everyday needs, fulfilling customer orders of cleaning and home products, over-the-counter medications, baby and pet products, food and drinks, and in some markets, alcohol – in just minutes. With micro-fulfillment centers in every market it serves, the company delivers thousands of products quickly for a flat $2.95 delivery charge. Gopuff is open 24/7 in many markets and late-night everywhere else to bring customers what they need when they need it most. Gopuff was founded in 2013 by co-CEOs Rafael Ilishayev and Yakir Gola when they were college students at Drexel University. The Philadelphia-based company now operates more than 600 micro-fulfillment centers in more than 1000 markets across the United States, including Chicago and its suburbs. It has raised more than $3.4B in funding.
Why Work With Us
We are the instant needs category creator, delivering in about 30 minutes for a $2.95 delivery fee. Our business model sets us apart: we own the products we sell and house them locally in our own micro-fulfillment centers. We have an entrepreneurial culture and constantly innovate to build new categories that improve customer experience.
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