Supply Chain Data & Analytics Manager

About the role

We are seeking a highly skilled Supply Chain Data & Analytics Manager to join our Global Supply Chain team at a pivotal time in our data and operations transformation. This role sits at the intersection of deep supply chain domain expertise and advanced business intelligence capability.

Responsibilities

• Design, build, and deploy a suite of Power BI dashboards from scratch, replacing existing operational reports with scalable, maintainable solutions.
• Build the 'operational newspaper' — an executive-facing overview dashboard summarizing production status, supply chain health, and critical KPIs.
• Develop Production Reporting dashboards providing real-time and historical visibility into output, yield, downtime, and throughput.
• Develop Production Planning dashboards enabling planners to monitor schedules, capacity utilization, and material availability.
• Define and enforce best-practice data modelling, DAX standards, and report design principles to ensure long-term maintainability.
• Evaluate and implement SAP Analytics Cloud (SAC) where complementary to the Power BI environment.
• Write, optimize, and maintain analytical SQL queries across SQL Server and Snowflake to support reporting and ad-hoc analysis.
• Extract, transform, and reconcile data from three core systems — Oracle EBS, SAP, and KERP — ensuring consistency and accuracy across all reporting outputs.
• Partner with IT and Data Engineering teams to define data requirements, support pipeline development, and improve data quality at source.
• Document data lineage, transformation logic, and field definitions to build a reliable single source of truth for supply chain metrics.
• Prepare and present analytical findings and dashboard outputs to Supply Chain and Operations Leadership on a regular cadence.
• Translate complex, multi-system data landscapes into clear narratives and actionable recommendations for both technical and non-technical audiences.
• Collaborate closely with Production Planning, Manufacturing, and Operations Leadership as primary day-to-day stakeholders.
• Act as a trusted analytical partner to the broader supply chain organization, responding to ad hoc data requests and executive queries.

Qualifications

• Bachelor’s degree in Business, Supply Chain, Data Analytics, or a related field.
• 5+ years of experience in supply chain analytics, operations analysis, or a closely related discipline.
• Proven hands-on Power BI development experience including data modelling, DAX, report design, and deployment to broad user populations.
• Proficient in SQL with demonstrated ability to query and reconcile data across multiple platforms (SQL Server and Snowflake required).
• Experience extracting and interpreting data from at least two enterprise ERP or MRP systems (Oracle EBS, SAP, NetSuite or equivalent).
• Strong working knowledge of supply chain operations including production planning, manufacturing, warehousing, distribution, and sourcing.
• Ability to translate raw, multi-system data into clear, executive-ready insights and presentations.
• Excellent verbal and written communication skills; comfortable presenting to Operations and executive leadership.
• Self-starter capable of managing ambiguity and building new analytical capability with limited prior infrastructure.

Preferred

• Direct experience with Oracle EBS, SAP (including SAP Analytics Cloud), and KERP in an analytics or reporting capacity.
• Exposure to global sourcing analysis: landed cost, supplier lead time variability, inbound logistics performance.
• Experience designing and governing a BI environment from the ground up, including documentation of data dictionaries and report catalogues.
• Familiarity with connecting Power BI to Snowflake and SQL Server via DirectQuery or scheduled import modes.
• Understanding of data warehouse concepts and working effectively with IT/Data Engineering teams on pipeline requirements.
• Python scripting knowledge is advantageous but not required; role operates within existing enterprise systems to avoid shadow IT.
• Previous experience in apparel, manufacturing, or consumer goods supply chains.