{"schemaVersion":"jobsearcher.job.v1","id":"d8abe686f69ffc009158ee36","url":"https://jobsearcher.com/jobs/d8abe686f69ffc009158ee36","canonicalUrl":"https://jobsearcher.com/jobs/d8abe686f69ffc009158ee36","title":"Analytics Engineer","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.\n\nAs 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.\n\nWhat We Offer\nMedical/Dental/Vision Insurance\n401(k) Retirement Savings Plan\nHSA or FSA eligibility\nLong and Short-Term Disability Insurance\nFitness Reimbursement Program\n25% employee discount & FAM Membership\nFlexible PTO\nGroup Life Insurance\nEAP through AllOne Health (formerly Carebridge)\nCompensation\nGopuff 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.\nThis role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.\nBase Salary Range: $100,000 - $125,000\nResponsibilities\n\nDesign, 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.\n\nBe the go-to data expert for these domains, with a deep understanding of our data warehouse and the processing layers feeding it.\n\nPartner 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.\n\nOwn data integrity, availability, transformation logic, and efficient data access for the domains you support.\n\nBuild and maintain reporting and dashboards in Looker that planners and merchants use daily, and retire the manual reporting they replace.\n\nSupport marketing and CRM analytics alongside the supply chain work: campaign and promotion performance, channel reporting.\n\nIdentify gaps in existing data, write data product specs, and work with engineering teams to get the right tracking in place.\n\nAutomate wherever possible, and build testing and monitoring so data quality problems surface before stakeholders find them.\n\nDocument your models so every stakeholder can find, understand, and trust the data without asking you first.\n\nPreferred Qualifications\n\nExperience with ETL/ELT tooling (bonus points for dbt).\n\nStrong knowledge of data warehousing concepts, big data technologies, and analytics platforms. Snowflake, Redshift, and/or Azure experience strongly preferred.\n\nExposure 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.\n\nExperience with marketing or CRM analytics: campaign performance, promotion lift, channel attribution, or customer segmentation.\n\nExperience with demand planning or ERP systems such as JustEnough or Kinaxis.\n\nComfort 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.\n\nAlcohol beverage or CPG category experience is a plus.\n\nMinimum Qualifications\n\nBachelor's in Engineering, Computer Science, Information Systems, Business, or another quantitative discipline.\n\n3+ years of experience building data models that integrate complex and disparate data sources, using tools such as dbt.\n\nExpert in SQL and database table design, able to write structured and efficient queries against large datasets. Advanced Excel skills for partner collaboration.\n\n1+ years building and maintaining reporting and dashboards in Looker or a comparable BI tool.\n\nStrong 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.\n\nExcellent communication skills, with the ability to translate business needs into tractable work items and to explain technical trade-offs to non-technical partners.\n\nTop-notch organizational skills and the ability to manage multiple projects in a fast-paced environment.\n\nMove fast, be a team player, always be learning, and give back.\n\nAt 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.\n\nAnd 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.\n\nLike what you’re hearing? Then join us on Team Blue.\n\n#LI-GOPUFF\n\nGopuff 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.\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Gopuff","rawCompany":"gopuff","city":"Miami","state":"FL","isRemote":false,"isActive":true,"createdAt":"2026-09-11T11:43:07.916Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analytics Engineer","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.\n\nAs 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.\n\nWhat We Offer\nMedical/Dental/Vision Insurance\n401(k) Retirement Savings Plan\nHSA or FSA eligibility\nLong and Short-Term Disability Insurance\nFitness Reimbursement Program\n25% employee discount & FAM Membership\nFlexible PTO\nGroup Life Insurance\nEAP through AllOne Health (formerly Carebridge)\nCompensation\nGopuff 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.\nThis role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.\nBase Salary Range: $100,000 - $125,000\nResponsibilities\n\nDesign, 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.\n\nBe the go-to data expert for these domains, with a deep understanding of our data warehouse and the processing layers feeding it.\n\nPartner 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.\n\nOwn data integrity, availability, transformation logic, and efficient data access for the domains you support.\n\nBuild and maintain reporting and dashboards in Looker that planners and merchants use daily, and retire the manual reporting they replace.\n\nSupport marketing and CRM analytics alongside the supply chain work: campaign and promotion performance, channel reporting.\n\nIdentify gaps in existing data, write data product specs, and work with engineering teams to get the right tracking in place.\n\nAutomate wherever possible, and build testing and monitoring so data quality problems surface before stakeholders find them.\n\nDocument your models so every stakeholder can find, understand, and trust the data without asking you first.\n\nPreferred Qualifications\n\nExperience with ETL/ELT tooling (bonus points for dbt).\n\nStrong knowledge of data warehousing concepts, big data technologies, and analytics platforms. Snowflake, Redshift, and/or Azure experience strongly preferred.\n\nExposure 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.\n\nExperience with marketing or CRM analytics: campaign performance, promotion lift, channel attribution, or customer segmentation.\n\nExperience with demand planning or ERP systems such as JustEnough or Kinaxis.\n\nComfort 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.\n\nAlcohol beverage or CPG category experience is a plus.\n\nMinimum Qualifications\n\nBachelor's in Engineering, Computer Science, Information Systems, Business, or another quantitative discipline.\n\n3+ years of experience building data models that integrate complex and disparate data sources, using tools such as dbt.\n\nExpert in SQL and database table design, able to write structured and efficient queries against large datasets. Advanced Excel skills for partner collaboration.\n\n1+ years building and maintaining reporting and dashboards in Looker or a comparable BI tool.\n\nStrong 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.\n\nExcellent communication skills, with the ability to translate business needs into tractable work items and to explain technical trade-offs to non-technical partners.\n\nTop-notch organizational skills and the ability to manage multiple projects in a fast-paced environment.\n\nMove fast, be a team player, always be learning, and give back.\n\nAt 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.\n\nAnd 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.\n\nLike what you’re hearing? Then join us on Team Blue.\n\n#LI-GOPUFF\n\nGopuff 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.\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-09-11T11:43:07.916Z","dateModified":"2026-09-11T11:43:07.916Z","hiringOrganization":{"@type":"Organization","name":"Gopuff","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d8abe686f69ffc009158ee36"},"url":"https://jobsearcher.com/jobs/d8abe686f69ffc009158ee36"}}