Analytics Engineer
Philadelphia, PA
- Pay
$100,000–125,000/year · BaseAnnual period assumed — pay source
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
Read the full posting- Work setting
Hybrid — work setting source
Work setup in the employer’s listing: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s listing: Full Time
From the employer’s posting
What you’ll work on
Full postingDesign and maintain production data models for sales, inventory, purchasing, and allocation
Build and maintain Looker reports and dashboards that planners and merchants use daily
Partner with supply chain, merchandising, and marketing teams to turn business questions into durable models
Own data integrity, availability, and transformation logic for supported domains
Build testing and monitoring so data quality problems surface early
From the employer’s posting
Design, build, and maintain the production data models that power supply chain and merchandising decisions
Build and maintain reporting and dashboards in Looker that planners and merchants use daily
Partner with Supply Chain divisional teams, Merchandising, Marketing, CRM, product managers, and engineers to translate business questions into durable models
Own data integrity, availability, transformation logic, and efficient data access for the domains you support
build testing and monitoring so data quality problems surface before stakeholders find them
What you’ll bring
All qualificationsCore experience
- 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.
- 1+ years building and maintaining reporting and dashboards in Looker or a comparable BI tool.
- Excellent communication skills, with the ability to translate business needs into tractable work items and to explain technical trade-offs to non-technical partners.
Preferred experience
- Experience with ETL/ELT tooling (bonus points for dbt).
- Strong knowledge of data warehousing concepts, big data technologies, and analytics platforms.
- 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.
Qualification wording
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.
1+ years building and maintaining reporting and dashboards in Looker or a comparable BI tool.
Excellent communication skills, with the ability to translate business needs into tractable work items and to explain technical trade-offs to non-technical partners.
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.
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.
Education & alternatives
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.
Tools in this posting
- SQL
- Azure
- dbt
- Excel
- Looker
- Redshift
- Snowflake
Source — Tool mentions in context
- 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.
- 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.
- 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.
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.
- 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.
- 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.
- 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.
Benefits in the posting
Full benefits wording- Medical/Dental/Vision Insurance
- 401(k) Retirement Savings Plan
- HSA or FSA eligibility
- Long and Short-Term Disability Insurance
- Fitness Reimbursement Program
- Flexible PTO
- Group Life Insurance
- EAP through AllOne Health (formerly Carebridge)
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 2 days ago
- Recorded sightings
- 3
- Last seen by us
- Oct 18, 2026
- Employer says posted
- Sep 10, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
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.
Employment type
Full Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
Philadelphia, PA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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