Who you are

• This is a senior, hands-on role for someone who thrives working across data modeling and operational systems, building reliable, production-grade data infrastructure that supports real-world operations
• 5+ years of experience in analytics engineering, data engineering, or advanced operational analytics
• Strong proficiency in SQL and deep comfort working in modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
• Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools
• Strong understanding of data modeling concepts including grain, fact tables, dimensions, and schema design
• Experience working with operational, warehouse, logistics, fulfillment, or supply chain datasets in a execution-heavy environments
• Experience building production-grade data models that support performance monitoring and operational decision-making
• Ability to translate complex workflows into structured, measurable metrics
• Comfort partnering directly with operational leaders and senior stakeholders
• Experience with SQL and Python or R, with comfort working directly in large analytical datasets
• Experience modeling workforce productivity, labor efficiency, or capacity planning
• Exposure to forecasting, optimization, simulation, or applied operations research
• Experience building near-real-time monitoring frameworks
• Experience defining composite performance models (e.g., quality + timeliness + accuracy metrics)
• Experience mentoring analytics engineers or influencing technical standards across a team

What the job involves

• We’re looking for a Senior Analytics Engineer, Operations & Distribution to partner closely with our Distribution Center (DC) Operations and Customer Experience teams to build and own the data foundations that power operational performance
• This role sits within our Analytics & Data Science organization and supports DC Operations, Customer Support, and Customer Experience leadership. You will be responsible for designing and maintaining the backend data models that enable leaders to monitor workforce productivity, throughput, service levels, cost efficiency, and fulfillment quality
• Unlike traditional analytics roles focused primarily on analysis or reporting, this role is centered on building durable, trusted data infrastructure that becomes the backbone of operational decision-making
• Build and own core operational data models in our enterprise data warehouse that power DC performance tracking and operational monitoring
• Design scalable transformation logic using dbt and SQL to support use cases such as hourly employee activity tracking, throughput analysis, labor productivity, and composite performance models (e.g., “perfect order” frameworks)
• Partner directly with DC Operations and Customer Experience leaders to translate operational workflows into measurable, reliable data assets
• Define and implement trusted metrics for operational efficiency, service quality, workforce performance, and fulfillment reliability
• Ensure operational data pipelines are tested, documented, and production-grade (balancing performance, scalability, and long-term maintainability)
• Support deeper modeling efforts (e.g., capacity planning, forecasting, optimization) in collaboration with Data Science partners
• Act as a senior technical voice for operational analytics engineering, influencing modeling standards, patterns, and best practices
• Operate independently as the primary data infrastructure owner for operational performance initiatives

Benefits

• Reach your wellness goals with our benefits plan, discount on practitioner-grade supplements, and company-wide health and wellness programs
• Our dedicated DEIB Council ensures we advocate for equality and encourage positive change within ourselves and the community. We value the unique qualities and perspectives of our team
• You choose your own office with our Wherever You Work Well approach. Whether that’s in-person or at home, teams aren’t defined by geography. Output, not location, is our success metric so we also offer a flexible approach to your working hours, vacation, and personal days
• We empower each other to grow with lunch and learns, lean in circles, show-and-tells, and more. Everyone has something to learn and something to teach so we pride ourselves on growing as a team
• We're not just a company — we're a community. Team lunches, weekly town halls, birthdays, parties, and clubs are an essential part of our community and culture
• The health of our people relies on the health of our planet. We are certified carbon-neutral, taking our first big step in creating a more sustainable future