Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Supply Chain Analytics and Business Intelligence Specialist II

Position Summary

The Supply Chain Analytics and Business Intelligence Specialist II is responsible for developing data-driven insights, dashboards, reports, and analytical solutions that support key Supply Chain functions across the organization. This role partners with stakeholders in Governance, Supplier Performance, Planning, Inventory, Demand, Forecasting, Procurement, and Master Data to understand business needs, analyze datasets, and deliver actionable insights that improve decision-making, process visibility, and operational performance.

This position combines technical data analytics capabilities with practical knowledge of Supply Chain processes. The specialist will support the development of business intelligence tools, automated reporting, data quality improvements, and process efficiency initiatives. The role will also contribute to the use of automation and artificial intelligence tools to reduce manual work, improve reporting accuracy, and enable faster, more informed decision-making.

The ideal candidate has hands-on experience with tools such as SQL, Power BI, Tableau, Alteryx, R, Excel, and related analytics platforms, as well as familiarity with automation tools, AI-enabled technologies, and coding assistants such as Codex, Copilot, ChatGPT, or similar solutions.

Key Responsibilities

Supply Chain Analytics & Reporting

• Develop, maintain, and enhance dashboards, scorecards, reports, and automated reporting solutions to support Supply Chain functions, including Governance, Supplier Performance, Planning, Inventory Management, Demand Planning, Forecasting, Procurement, and Master Data.
• Analyze large and complex datasets to identify trends, risks, root causes, performance gaps, and opportunities for improvement across supply chain operations.
• Translate business requirements into clear analytics outputs, reporting solutions, KPIs, and visualizations.
• Create standardized reports and dashboards for business reviews, governance meetings, operational reviews, and leadership presentations.
• Support KPI governance by improving visibility into key supply chain performance indicators and ensuring reporting is accurate, timely, and consistent.
• Provide analytical support for supplier performance tracking, inventory analysis, forecast accuracy improvement, planning effectiveness, and operational execution.
• Communicate findings and recommendations clearly to business stakeholders using data storytelling and effective visualization techniques.

Business Intelligence & Data Tools

• Design and execute data extraction, transformation, and analysis workflows using tools such as SQL, Power BI, Tableau, Alteryx, R, Excel, and other analytics platforms.
• Build and maintain data models, queries, reporting logic, and visualization layers that support business intelligence solutions.
• Support dashboard automation and self-service reporting capabilities to improve access to supply chain insights.
• Validate data accuracy, troubleshoot reporting issues, and support resolution of system, data, or process inconsistencies.
• Document reporting logic, data definitions, data sources, and analytical processes to ensure sustainability and standardization.
• Partner with business teams, data owners, and analytics teams to improve reporting consistency, data quality, and metric definitions.

Process Automation & Efficiency

• Identify manual reporting activities, repetitive processes, and data handling inefficiencies that can be improved through automation.
• Support the development of automated workflows, reporting pipelines, scripts, and digital tools that reduce manual effort and improve process efficiency.
• Use automation tools, low-code/no-code solutions, and coding assistants such as Codex, Copilot, ChatGPT, or similar platforms to support analytics and reporting productivity.
• Assist in the implementation of scalable reporting and automation solutions in partnership with Analytics, Digital, IT, and Supply Chain teams.
• Recommend data-based solutions to improve supply chain visibility, decision-making, standardization, and operational execution.
• Support continuous improvement projects through analytics, modeling, scenario analysis, bus