Design and evolve cloud‑based and big‑data analytics architectures supporting Aruba Supply Chain reporting, risk assessment, and forecasting use cases.
Architect end‑to‑end analytical data pipelines , integrating data from enterprise systems such as SAP (S/4), SC360, EGI, MSP Workbench, and other upstream sources.
Define and maintain data models, transformation logic, and metadata standards to ensure consistency across global reporting.
Own and continuously enhance material risk and backlog risk assessment frameworks , incorporating multiple hold codes, shortage classifications, and confidence modeling techniques.
Develop and maintain order conversion rate methodologies , including historical analysis, scenario modeling, and quarter‑specific assumptions to support revenue and load projections.
Deliver analytics that enable proactive identification of material shortages, backlog exposure, fulfillment risks, and revenue impacts.
Build and maintain enterprise‑grade BI dashboards and reports (e.g., Power BI and Excel‑based models) used in weekly, monthly, and quarterly executive forums.
Ensure reporting accuracy for key metrics.
Translate complex analytical outputs into clear, decision‑ready insights for senior leaders across Supply Chain, S&OP, and Global Operations.
Drive automation of data extraction, transformation, and reporting workflows , reducing manual effort and improving reliability.
Partner with IT and platform teams to support data infrastructure hardening , including staging server capacity, performance tuning, and pipeline stability.
Act as a key analytical escalation point for time‑sensitive operational issues , such as shipment discrepancies, serial number investigations, valuation anomalies, and PO recovery.
Support Quality Engineering, Planning, and Fulfillment teams with ad‑hoc deep‑dive analytics during critical incidents.
Collaborate closely with Supply Planning, Procurement, Manufacturing, S&OP, Finance, and IT teams across regions (AMS, EMEA, APJ).

Requirements

Master’s degree in Data & Analytics, Data Architecture, Information Technology, Supply Chain, or a related field or equivalent practical experience.
10+ years of experience in Data & Analytics, Data Architecture, Supply Chain Analytics, or enterprise IT environments.
Strong experience with Big Data platforms and Data Warehousing.
Analytical data modeling and solution design.
SQL‑based data analysis and transformation.
BI and visualization tools (e.g., Power BI, advanced Excel models).
Familiarity with cloud data platforms and modern analytics tools (e.g., Snowflake, Python‑based automation).
Understanding of ETL/ELT patterns, metadata management, and operational data stores.
Solid understanding of Supply Chain concepts including: Backlog and order management, Shipments and fulfillment flows, Material shortages and risk categorization, Revenue projection and conversion dynamics.
Strong analytical and problem‑solving skills with attention to detail.
Ability to communicate complex technical concepts clearly to both technical and non‑technical audiences.
Proven accountability, sense of urgency, and comfort operating in high‑visibility environments.
Integrity and discretion in handling confidential and sensitive business data.

Benefits

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

cloud-based architecturebig-data analyticsdata pipelinesdata modelingSQLETLdata warehousingdata transformationanalyticsautomation

Soft Skills

analytical skillsproblem-solvingcommunicationattention to detailaccountabilitysense of urgencyintegritydiscretion

Certifications

Master’s degree in Data & AnalyticsMaster’s degree in Data ArchitectureMaster’s degree in Information TechnologyMaster’s degree in Supply Chain