Key Responsibilities:

• Conduct daily analysis of real-time and historical data to monitor and manage DC capacity, throughput, and performance. Flag anomalies and work with stakeholders, escalating risks appropriately.
• Collaborate with cross-functional teams to capture and document requirements for the rollout of the Control Tower framework.
• Produce and maintain standardised reports and dashboards across various platforms to deliver consistent, actionable insights to all stakeholder levels, including brands, DC management, and executives.
• Establish, manage, and regularly review business rules, thresholds, and alerts to ensure timely identification of capacity constraints and performance deviations.
• Provide direct analytical support for the development and validation of predictive models covering inbound stock flow, storage utilisation, and outbound demand variability.
• Prepare clear, concise outputs and recommendations based on analytical findings. Ensure deliverables are business-ready and supported by relevant data.
• Identify process gaps and inefficiencies. Propose corrective actions, support execution, and track results to ensure measurable improvement.
• Lead and facilitate recurring meetings with functional teams to align on Control Tower outputs, review actions, and secure commitment to next steps.
• Engage directly with brand teams to ensure consistent understanding and application of the Control Tower framework. Address misalignment and resolve issues promptly. Drive stakeholder accountability by ensuring follow-through on agreed actions and reinforcing the Control Tower’s role as a performance governance tool.
• Coordinate with Data & Systems teams to ensure the availability, accuracy, and relevance of data used for reporting, monitoring, and decision-making.

Key Deliverables:

• Clear, accurate, and automated dashboards tracking DC capacity, throughput, and productivity metrics.
• Data-driven models and “what-if” scenarios for inbound volumes, labour requirements, space utilisation, and outbound demand fluctuations.
• Recommendations based on scenario outcomes to inform planning, risk mitigation, and trade-off decisions.
• Investigations and post-event reviews following significant capacity, throughput, or service-level failures. Regular and ad hoc reports identifying trends, risks, or opportunities, with clear recommendations.
• Threshold-based alerting mechanisms that enable proactive intervention.
• Presentation decks and briefing notes for Control Tower forums, brand meetings, and leadership updates.
• Tailored reporting packs for brands, DC operations, and C-suite audiences.
• Documented and maintained business rules for capacity, storage utilisation, labour demand, and performance KPIs.
• Interpretation and communication of predictive model outputs to non-technical stakeholders.
• End-to-end documentation of Control Tower data flows, metric definitions, meeting rhythms, and decision protocols.
• Agendas, minutes, action logs, and follow-ups from weekly alignment sessions with internal stakeholders and brand teams.

Requirements & Skills:

• Bachelor’s degree in supply chain management, Business Analysis, Industrial Engineering, Quantitative Data Analysis or a related field.
• 2-4 years’ experience as a Business Analyst in a supply chain, warehouse, or logistics environment.
• Strong numerical, problem-solving, and root cause analysis skills.
•  Ability to build and interpret scenario and capacity models.
• Proficient in Power BI, Tableau, or similar tools; clear data storytelling.
• Solid understanding of DC operations, capacity, and productivity metrics.
• Skilled in documenting business needs and mapping processes.
• Confident communicator, able to influence and align cross-functional teams.
• Comfortable driving adoption of new tools, frameworks, and behaviours.
• High accuracy in data analysis, thresholds, and reporting outputs.
• Effective team player across brands, operations, and data functions.
• Advanced Excel and SQL; knowledge of WMS/ERP systems is a plus..