Analytics Engineer

The role

You will build and maintain the data models that supply chain and merchandising teams use to decide what to buy, where to place it, and how to promote it. You will also support marketing and CRM analytics, and own the integrity and usability of that data.

What you will do

• Design, build, and maintain production data models for sales and demand, inventory, damage and expiration, turn, vendor fill rate, purchase orders, and allocation
• Be the data expert for these domains
• Partner with supply chain, merchandising, marketing, CRM, product, and engineering teams to turn business questions into durable models and self-serve tools
• Own data integrity, availability, transformation logic, and efficient data access
• Build and maintain Looker reports and dashboards used daily by planners and merchants
• Support marketing and CRM analytics, including campaign, promotion, and channel reporting
• Identify data gaps, write data product specs, and work with engineering on tracking
• Automate work and build testing and monitoring for data quality
• Document models so stakeholders can find and trust the data

Required qualifications

• Bachelor's in Engineering, Computer Science, Information Systems, Business, or another quantitative discipline
• 3+ years building data models that integrate complex, disparate data sources, using tools such as dbt
• Expert in SQL and database table design, with advanced Excel skills
• 1+ years building and maintaining reports and dashboards in Looker or a comparable BI tool
• Strong analytical judgment and the ability to explain the 'so what' to business partners
• Excellent communication skills, including explaining technical trade-offs to non-technical partners
• Strong 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

Nice to have

• Experience with ETL/ELT tooling, with dbt a bonus
• Strong knowledge of data warehousing and analytics platforms; Snowflake, Redshift, and/or Azure experience strongly preferred
• Exposure to supply chain, inventory, merchandise planning, or allocation data
• Experience with marketing or CRM analytics
• 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

Benefits

• Medical, dental, and vision insurance
• 401(k) retirement savings plan
• HSA or FSA eligibility
• Long and short-term disability insurance
• Fitness reimbursement program
• 25% employee discount and FAM membership
• Flexible PTO
• Group life insurance
• EAP through AllOne Health

Before you apply

• Compensation may vary by location, and the starting pay depends on skills, experience, interview performance, and market conditions

About the company

Gopuff's engineering team builds solutions that change how people buy daily goods, delivering snacks, household goods, and more within minutes. The company is an equal opportunity employer.