About
Conduct deep-dive analysis of existing procurement data to identify root causes of PO cycle time delays Map current-state process flows and quantify time/cost impact of bottlenecks across the S2O lifecycle Develop visibility dashboards and reports that enable operational teams to prioritize improvement actions Partner with Procurement, AP, and business units to implement quick-win process changes based on data insights Track and measure the impact of interventions on key performance indicators (KPIs) Design and build Ariba reporting framework, including standard reports, dashboards, and KPI scorecards Define data governance policies, including data quality standards, metadata definitions, and access controls Configure Ariba reporting modules and integrate with business intelligence tools (Power BI, Tableau, etc.) Establish baseline metrics and targets for post-go-live performance measurement Create user documentation and training materials for self-service reporting Transform Ariba transactional data and metadata into strategic insights (spend analytics, supplier performance, compliance trends) Identify opportunities for process optimization, cost reduction, and risk mitigation through trend analysis Develop predictive analytics capabilities to forecast procurement performance and supply chain risks Lead regular business reviews with stakeholders to communicate insights and drive data-informed decisions Foster a culture of continuous improvement through transparency, accountability, and data literacy Partner with IT, Procurement leadership, and business units to understand reporting requirements Translate business needs into technical specifications for reporting and analytics solutions Serve as subject matter expert on procurement metrics, benchmarking, and industry best practices Requirements:
Bachelor's degree in Data Analytics, Business Analytics, Supply Chain Management, Industrial Engineering, or related field 7+ years of relevant experience 4-6 years of experience in procurement analytics, supply chain analytics, or business intelligence Strong proficiency in data analysis and visualization tools (Excel, Power BI, Tableau, SQL) Demonstrated ability to extract insights from complex datasets and communicate findings to non-technical audiences Experience with supply chain processes and procurement KPIs (cycle time, maverick spend, supplier performance, etc.) Proficiency in statistical analysis tools (R, Python) or advanced analytics techniques Knowledge of data governance principles and best practices Strong business acumen with ability to connect data insights to operational outcomes Benefits:
401K plan with an employer match Medical/Dental/Vision Insurance Life and Disability Insurance Paid Time Off Tuition Reimbursement/Professional Development
Languages
- English
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