Fleet Management Data Analyst: SIOP (Sales, Inventory & Operations Planning )
Core
Owns data coordination, integrity, and readiness for the Sales, Inventory & Operations Planning (SIOP) process, ensuring a single source of truth for demand, supply, and inventory to drive cross-functional decisions.
Role type
Senior Fleet Management Data Analyst (SIOP)
Builds
Trusted datasets, dashboards, and analytical models supporting SIOP cycles and fleet management metrics.
Domain
Industrial supply chain, SIOP, fleet equipment management, and financial operations.
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, data modeling (star/snowflake), Power BI (DAX), Excel (Power Pivot/Query), data quality frameworks, master data stewardship, SIOP processes, demand planning, inventory management, financial principles.
Preferred skills
Microsoft Dynamics 365 Finance & Operations, Azure Data Factory/Synapse/Databricks, SIOP planning tools (Kinaxis/SAP IBP/o9/Anaplan), Python/R, Power Automate, external signal integration.
Technologies
SQL, Power BI, Excel, Azure Data Factory, Synapse, Databricks, Microsoft Dynamics 365, Kinaxis RapidResponse, SAP IBP, o9, Anaplan, Python, R.
Responsibilities
Coordinate data ingestion from ERP/CRM/WMS/supplier portals; define and maintain ETL/ELT pipelines; operationalize data quality rules and automated validation checks; own SIOP data readiness checklists and enforce cutoffs; design and maintain dashboards for SIOP KPIs (Forecast Accuracy, Service Level, Inventory Turns, etc.); integrate financial data to analyze cost drivers and budget adherence; investigate variances and quantify business impact; create SOPs and train super-users on data processes.
Seniority
Mid-to-Senior, hands-on IC with cross-functional facilitation
