Analytics Engineer at Gopuff | FL, US | Rezi

Analytics Engineer at Gopuff

Analytics Engineer

Gopuff · FL, US

1 weeks ago

Analytics Engineer

Gopuff · FL, US

13 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Analytics Engineer role.

Rezi rewrites your resume against Gopuff's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Analytics Engineer posting at Gopuff — free, in seconds.

About the Role

As an Analytics Engineer at Gopuff, you'll build and maintain the bridge between our data and the rest of the organization. This role 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.

Responsibilities

  • Design, build, and maintain production data models for sales and demand, inventory position and in-stock, damage and expiration, turn, vendor fill rate, purchase orders, and allocation.
  • Serve as the go-to data expert for supply chain and merchandising domains, with a deep understanding of the data warehouse and its processing layers.
  • Partner with Supply Chain, Merchandising, Marketing, CRM, product managers, and engineers to translate business questions into durable models and self-serve tooling.
  • Own data integrity, availability, transformation logic, and efficient data access for supported domains.
  • Build and maintain reporting and dashboards in Looker for planners and merchants.
  • Support marketing and CRM analytics, including campaign and promotion performance and channel reporting.
  • Identify data gaps, write data product specifications, and collaborate with engineering teams to implement necessary tracking.
  • Automate processes, and build testing and monitoring to ensure data quality.
  • Document models to ensure stakeholders can find, understand, and trust the data independently.

Requirements

  • Experience with ETL/ELT tooling (dbt is a plus).
  • Strong knowledge of data warehousing concepts, big data technologies, and analytics platforms (Snowflake, Redshift, and/or Azure experience preferred).
  • Exposure to supply chain, inventory, merchandise planning, or allocation data.
  • Familiarity with concepts like model stock, lead time, replenishment cycles, sell-through, and turn.
  • 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.
  • Alcohol beverage or CPG category experience is a plus.
  • 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 to move from raw data to clear recommendations and explain the 'so what' to business partners.
  • Excellent communication skills to translate business needs into work items and explain technical trade-offs to non-technical partners.
  • Top-notch organizational skills and ability to manage multiple projects in a fast-paced environment.
  • Ability to move fast, be a team player, continuously learn, and contribute to the team.

Skills

  • dbt
  • Snowflake
  • Redshift
  • Azure
  • SQL
  • Looker
  • Excel
  • AI-assisted development tools
  • ETL/ELT tooling
  • Data warehousing concepts
  • Big data technologies
  • Analytics platforms
  • Supply chain analytics
  • Merchandising analytics
  • Marketing analytics
  • CRM analytics
  • Demand planning
  • ERP systems

Experience Level

  • 3+ years of experience building data models
  • 1+ years building and maintaining reporting and dashboards

Education Level

  • Bachelor's in Engineering, Computer Science, Information Systems, Business, or another quantitative discipline.

Salary/Compensations

  • $100,000 - $125,000
  • Eligible for a discretionary annual cash bonus
  • Eligible for participation in Gopuff’s equity incentive plan

Benefits

  • 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)

About the Company

  • 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.
  • 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.
  • 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.
  • Join us on Team Blue.

Equal Opportunity

  • 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.