Alejandro Gallar

• • Product Owner of three global analytics pipelines: S&OE Analytics, Global End-to-End Inventory, and Financial Inventory Analytics Dashboard.

• • Run analysis, simulation, and optimisation techniques across end-to-end supply chain data covering forecasting (SISO), DRP, production pattern wheel, transportation, warehousing, customer service, and inventory management.

• • Design and publish automated standard reports globally across all Supply Chain business areas including S&OP decks and KPI monitoring.

• • Implement stock policies and establish forecast consumption rules based on demand drivers; validate inventory targets and financial impact.

• • Define business rules and optimise inventory planning parameters including network lead times and master data; maintain rules for Master Data quality checks.

• • Extract, cleanse, and prepare supply chain data; identify reporting needs and produce official KPIs (S&OP Materials, Regional & Global S&OP, Inventory Obsolescence, Allocation Record, Supply Risk Report, Forecasting Quarterly Review).

• • Partner with Centres of Excellence and cross-functional stakeholders to ensure compliance and target validation.

• • Own a cross-system Supplier Performance visibility project integrating data from multiple SAP environments for the Procurement team.

• • Provide analytical solutions to ensure data quality in data foundations; participate in UATs and GenAI data preparation initiatives.

• • Owned all global inventory analytics tools; led full migration of the inventory analytics pipeline from DSW/QlikSense to Snowflake/Power BI.

• • Built complex data models and BI solutions in Power BI, including RLS configurations and Azure AD group management to ensure data security and governance.

• • Integrated PowerApps applications within dashboards to deliver custom business functionalities.

• • Collaborated with Digital and Forecasting teams to ensure data consistency and accuracy across platforms.

• • Implemented innovative Microsoft 365 solutions to embed custom functionalities inside operational reports.

• • Supported continuous improvement of the service operational model design and service portfolio optimisation through analytics.

• • Managed decommissioning of outdated services using analytics tools; provided user support for the company's highest-value internal microservices application (Kubernetes, Argo, AWS).

• • Transformed user feedback into actionable product insights for the Product Owner and development teams.