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Posted 10 Sep 2026 (56 days ago) · Job 16117 · Read from the employer's Lever board, last checked 5 Nov 2026, 19:08 UTC

Analytics Engineer

Gopuff · Philadelphia, Pennsylvania; Miami, Florida

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What the posting says

Each fact carries its state:Statedfound in the postingConflictstwo statements disagree, both quotedNot mentionedthe posting does not say

PayStated
$100,000–$125,000 a year
Employment typeStated
Full time
Work arrangementStated
Hybrid
ExperienceStated
2-5 years
EducationStated
['bachelor degree']

Not mentioned in this posting

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ShiftNot mentioned
The posting does not say
Visa sponsorshipNot mentioned
The posting does not say

Requirements, each with its sentence from the posting

These are the employer’s words. The index does not judge whether you meet them.

  • Data modeling with complex data sourcesrequired

    3+ years of experience building data models that integrate complex and disparate data sourcesfrom the posting

  • SQL expertiserequired

    Expert in SQL and database table design, able to write structured and efficient queries against large datasetsfrom the posting

  • Bachelor's in Engineering, Computer Science, Information Systems, Business or quantitative disciplinerequired

    Bachelor's in Engineering, Computer Science, Information Systems, Business, or another quantitative disciplinefrom the posting

  • dbtrequired

    3+ years of experience building data models that integrate complex and disparate data sources, using tools such as dbtfrom the posting

  • Lookerrequired

    1+ years building and maintaining reporting and dashboards in Looker or a comparable BI toolfrom the posting

  • Excelrequired

    Advanced Excel skills for partner collaborationfrom the posting

  • Analytical judgmentrequired

    Strong analytical judgment: able to move from raw data to a clear recommendationfrom the posting

  • Communication skillsrequired

    Excellent communication skills, with the ability to translate business needs into tractable work itemsfrom the posting

  • Snowflake, Redshift or Azurepreferred

    Snowflake, Redshift, and/or Azure experience strongly preferredfrom the posting

  • ETL/ELT toolingpreferred

    Experience with ETL/ELT tooling (bonus points for dbt)from the posting

  • Data warehousing conceptspreferred

    Strong knowledge of data warehousing concepts, big data technologies, and analytics platformsfrom the posting

  • Supply chain and inventory planningpreferred

    Exposure to supply chain, inventory, merchandise planning, or allocation datafrom the posting

  • Marketing and CRM analyticspreferred

    Experience with marketing or CRM analytics: campaign performance, promotion lift, channel attribution, or customer segmentationfrom the posting

  • AI-assisted development toolspreferred

    Comfort working with AI-assisted development tools. We use assistants like Claude in our day-to-day analytics engineering workfrom the posting

Read the full posting as the employer wrote it

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.

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.

The posting text is reproduced as the employer wrote it; the index adds nothing to it.

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