Generate and drive the strategic analytic roadmap to identify exceptions and inefficiencies across the order lifecycle — shipping delays, cost drivers, inventory inaccuracies, and service-level gaps — and translate them into actionable insights.
Own operational metrics, ensuring clarity, alignment, and regular review across stakeholders; bridge operations and finance on forecasting, spend tracking, and variance analysis to ensure operational data and financial reporting tell the same story.
Lead analytics for quarterly cost reduction initiatives, including fulfillment COGS, freight costs, and cost per contact. Partner with Finance on total cost reporting and gross margin analysis.
Contribute to S&OP reviews and Operations OKR check-ins. Deliver the data that shapes prioritization and resource allocation across the operations organization.
Partner with Operations, Membership Services, and Finance to improve accuracy, vendor accountability, and overall member experience.
Collaborate with Data Engineering to improve pipeline reliability and data access across key operational systems.
Build, maintain, and ensure accurate, reliable data assets and trusted metric definitions within our semantic layer — from data pipelines to dashboards and regular performance reviews.
Manage, mentor, and grow a team of analysts, fostering a culture of high performance and continuous improvement. Ensure each analyst has clear workstream ownership and the context they need to proactively identify problems.
6+ years of experience in analytics, operations, supply chain, fulfillment, or logistics in a consumer business (eCommerce, hardware, CPG, or retail preferred).
Experience managing or mentoring analysts. You should enjoy coaching and have a perspective on how to grow early-career analysts into workstream owners.
Strong business judgment and ability to connect operational data to cost, experience, and strategic priorities.
Proven ability to operate at both strategic and tactical levels and context-switch between them without dropping quality.
Comfort representing analytics in cross-functional settings and demonstrated success in influencing senior stakeholders on strategic direction based on data-driven insights.
Proficiency in SQL; experience with dbt, Snowflake, or similar ELT/data warehouse platforms.
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