Business Analytics Manager
Job description
About the role
You will generate and drive the strategic analytic roadmap to identify exceptions and inefficiencies across the order lifecycle, including shipping delays, cost drivers, inventory inaccuracies, and service-level gaps, translating them into actionable insights. You will own operational metrics, ensuring clarity, alignment, and regular review across stakeholders to bridge operations and finance on forecasting, spend tracking, and variance analysis so that operational data and financial reporting tell the same story. You will lead analytics for quarterly cost reduction initiatives, focusing on fulfillment COGS, freight costs, and cost per contact, while partnering with Finance on total cost reporting and gross margin analysis. You will contribute to S&OP reviews and Operations OKR check-ins, delivering the data that shapes prioritization and resource allocation across the operations organization. You will partner with Operations, Membership Services, and Finance to improve accuracy, vendor accountability, and overall member experience through data-driven recommendations. You will collaborate with Data Engineering to improve pipeline reliability and data access across key operational systems, ensuring foundational infrastructure supports rigorous analysis. You will build, maintain, and ensure accurate, reliable data assets and trusted metric definitions within our semantic layer, covering data pipelines to dashboards and regular performance reviews. You will manage, mentor, and grow a team of analysts, fostering a culture of high performance and continuous improvement so that each analyst has clear workstream ownership and the context needed to proactively identify problems.
Key facts
What you'll do
- 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.
- Partner with cross-functional stakeholders to design experiments that isolate root causes of operational variance and validate corrective actions.
- Translate complex analytical findings into concise narratives and executive-ready materials that drive decisions on pricing, inventory, and service improvements.
- Establish governance around data quality, definitions, and lineage to build trust in reports used for financial planning and operational reviews.
- Monitor key performance indicators end-to-end, detect anomalies early, and coordinate with owners to remediate issues impacting cost or member experience.
- Leverage visualization tools to surface trends, support forecasting, and highlight areas where process changes can reduce cost or improve reliability.
- Coordinate with regional operations teams to standardize data collection practices and enable consistent reporting across markets.
- Prioritize analytical initiatives based on potential impact on cost, speed, and accuracy, balancing quick wins against strategic investments.
- Participate in backlog refinement for data initiatives, helping to clarify requirements and dependencies with engineering and operations.
- Maintain a strong understanding of the member journey to ensure analyses reflect real-world behavior and operational constraints.
- Document methodologies and assumptions rigorously so that insights are reproducible and withstand peer review.
Requirements
- 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.
- This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.