Sourcing Analyst at STERIS
Eden Prairie, Minnesota — full-time
The Data Analyst - Operations & Supply Chain transforms data across manufacturing, supply chain, procurement, sourcing, inventory, planning, logistics, and distribution into actionable insights that improve operational performance, service, cost, and working capital. The role develops and maintains dashboards, scorecards, key performance indicators, and analytical models that identify trends, uncover root causes, and support data-driven decisions. The analyst partners with business stakeholders and technical teams to define requirements, improve data quality, and deliver scalable analytics solutions. This position also supports adoption of self-service analytics by translating complex data into clear, business-friendly insights and recommendations. This is a hybrid schedule role with the requirement of working onsite in either Eden Prairie, MN or Mentor, OH 3 days/week. This role is not eligible for Visa Sponsorship of H1B Transfer. What You'll do as a Supply Chain Data Analyst Collaborates with Operations and Supply Chain stakeholders to understand business priorities, define analytical requirements, and deliver insights that support measurable operational and financial outcomes. Analyzes data across manufacturing, planning, procurement, inventory, quality, transportation, warehousing, and distribution to identify performance trends, root causes, risks, and improvement opportunities. Designs, develops, and maintains dashboards, scorecards, and key performance indicators using Tableau, and other business intelligence tools, while promoting user adoption and consistent metric definitions. Prepares recurring and ad hoc analyses that support decisions related to cost, service, productivity, capacity, inventory, supplier performance, lead times, and operational efficiency. Translates analytical findings into clear recommendations, visualizations, and presentations for operational leaders and cross-functional stakeholders. Partners with Data Engineering, Business Intelligence, Information Technology, and business teams to define data requirements, validate source data, and implement scalable reporting and analytics solutions. Extracts, transforms, validates, cleanses, and reconciles data from enterprise resource planning systems, manufacturing and supply chain applications, data warehouses, spreadsheets, and other sources. Identifies and resolves data quality, master data, and reporting issues that affect operational execution, performance measurement, and decision-making. Supports forecasting, scenario analysis, business case development, and benefit tracking for continuous improvement and analytics initiatives. Documents data definitions, calculation logic, requirements, and report procedures to improve standardization, governance, supportability, and knowledge sharing. Researches analytical methods, data visualization practices, and Operations and Supply Chain trends to continuously improve the value and usability of analytics products. T