Analytics Engineer

Philadelphia, PA

Live, first seen by us 18 days ago

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
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Work setting: Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment: Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting

What you’ll work on

Full posting

Design 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 qualifications

Core 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.

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.

Apply at Gopuff

Posting record

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Status in our records: Live
First seen by us: Oct 16, 202618 days ago
Recorded sightings: 56
Last seen by us: Nov 4, 2026
Employer says posted: Sep 10, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$100K–$125K against $122K–$190K, the middle half of what similar US postings state.

From 321 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 18

Similar jobs usually come down between day 6 and day 47.

From 1,405 similar postings that came down. Coming down is not always a hire.

Gopuff is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

SQL
Azure
dbt
Excel
Looker
Redshift
Snowflake

Where the posting names them

- 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.

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

Employment type

Full Time

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