Data Analyst, Supply Chain & Insights

The Data Analyst plays a key role in enabling data-driven decision making across Res Med's Global Distribution, Logistics & Trade organization. This role supports stakeholders across Res Med's global supply chain network and partners with teams across multiple regions and geographies.

As a member of the Global Supply Chain Performance & Insights team, you will transform complex operational data into actionable insights that improve service, reduce costs, increase efficiency, and support operational excellence across Res Med's global supply chain network.

You will collaborate closely with Distribution, Logistics, Transportation, Trade, Planning, Customer Operations, Finance, and Technology teams to develop dashboards, reporting solutions, performance metrics, and analytical insights that help teams make better business decisions.

This role is ideal for a data professional who enjoys solving business problems, uncovering insights from data, automating manual processes, and working in a highly collaborative global environment.

This is a global role supporting stakeholders across multiple regions and time zones. Candidates must be comfortable collaborating across a globally distributed organization and demonstrate flexibility to participate in occasional early-morning or evening meetings when needed to support regional stakeholders and global business priorities.

• Partner with global supply chain stakeholders to understand business needs and translate them into analytical solutions.
• Work closely with regional stakeholders to understand operational challenges, business questions and reporting needs and translate them into analytical solutions.
• Develop a strong understanding of regional supply chain processes, operating models and business priorities.
• Provide data-driven insights and recommendations that help stakeholders make informed operational decisions.
• Participate in regional performance reviews and business discussions, providing analytical support and identifying trends, risks and opportunities.
• Collaborate effectively with stakeholders across different cultures, geographies and time zones.

• Analyze supply chain performance across areas including distribution, transportation, logistics, inventory and order fulfillment.
• Monitor and analyze operational KPIs such as OTIF, service levels, transportation cost, warehouse productivity, inventory flow, freight utilization, carrier performance, logistics cost and customer experience metrics.
• Identify performance trends, exceptions and emerging operational issues through recurring and ad hoc analysis.
• Conduct structured root-cause analysis to understand operational performance gaps and identify potential improvement opportunities.
• Support regional teams in evaluating operational trade-offs involving cost, service, inventory and capacity.
• Measure the impact of operational improvements and initiatives through KPI tracking and post-implementation analysis.

• Design, develop, and maintain dashboards, scorecards, and KPI reporting using Tableau and/or Power BI.
• Write SQL queries to extract, transform, and analyze data from enterprise systems.
• Build scalable reporting datasets and analytical solutions that support business decision making.
• Automate recurring reports and analytical workflows to improve efficiency and reduce manual effort.
• Partner with Data Engineering and Technology teams to ensure data quality, consistency, and governance.
• Maintain trusted KPI definitions, reporting standards, and business documentation.
• Support self-service analytics capabilities that enable business users to access timely and reliable information.