Sourcing Analyst

STERIS•Eden Prairie, MN

2d•Hybrid

About The Position

At STERIS, 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 to 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, while supporting adoption of self-service analytics by translating complex data into clear, business-friendly insights and recommendations. This is a hybrid role requiring onsite work three days per week in either Eden Prairie, Minnesota, or Mentor, Ohio. The role is not eligible for H-1B transfer visa sponsorship.

Requirements

Bachelor’s degree.
At least 3 years of experience in supply chain analytics, operations analytics, manufacturing analytics, logistics analytics, business intelligence, or a related analytical role.
At least 3 years of experience gathering, analyzing, and interpreting data to identify trends, operational improvement opportunities, cost savings, and business insights.
At least 2 years of experience developing dashboards, scorecards, KPI reporting, or data visualizations using Tableau or similar business intelligence platforms.
Experience in one or more Operations or Supply Chain domains, such as manufacturing, planning, procurement, sourcing, inventory, quality, transportation, warehousing, or distribution.
Experience communicating analytical findings and recommendations to business stakeholders.
Strong analytical and problem-solving skills, including identifying trends, investigating root causes, evaluating operational performance, and developing data-driven recommendations.
Working knowledge of Operations and Supply Chain processes in at least one relevant domain.
Proficiency with Tableau and/or Power BI, including building clear, actionable dashboards, scorecards, and visualizations for business users.
Proficiency in data analysis and data management, including data extraction, transformation, validation, cleansing, reconciliation, and interpretation across multiple data sources.
Proficiency in Excel.
Ability to translate complex data into concise, business-friendly insights and communicate effectively with technical and nontechnical stakeholders.
Understanding of Operations and Supply Chain KPIs related to cost, service, productivity, quality, capacity, inventory, lead time, and supplier performance.
Strong collaboration and stakeholder management skills across Operations, Supply Chain, Procurement, Finance, Information Technology, Data Engineering, and Business Intelligence teams.
Strong organizational skills, attention to detail, and ability to manage multiple priorities and deliver accurate work within established deadlines.
Curiosity and a continuous improvement mindset, including willingness to learn business processes, analytical methods, and technology platforms.

Nice To Haves

Experience with SQL, Snowflake, enterprise resource planning data, or similar data platforms.

Responsibilities

Collaborate with Operations and Supply Chain stakeholders to understand priorities, define analytical requirements, and deliver insights supporting measurable operational and financial outcomes.
Analyze data across manufacturing, planning, procurement, inventory, quality, transportation, warehousing, and distribution to identify trends, root causes, risks, and improvement opportunities.
Design, develop, and maintain dashboards, scorecards, and KPIs using Tableau and other business intelligence tools; promote user adoption and consistent metric definitions.
Prepare recurring and ad hoc analyses supporting decisions about cost, service, productivity, capacity, inventory, supplier performance, lead times, and operational efficiency.
Translate findings into recommendations, visualizations, and presentations for operational leaders and cross-functional stakeholders.
Partner with Data Engineering, Business Intelligence, Information Technology, and business teams to define data requirements, validate source data, and implement scalable reporting and analytics solutions.
Extract, transform, validate, cleanse, and reconcile data from ERP systems, manufacturing and supply chain applications, data warehouses, spreadsheets, and other sources.
Identify and resolve data quality, master data, and reporting issues that affect operational execution, performance measurement, and decision-making.
Support forecasting, scenario analysis, business case development, and benefit tracking for continuous improvement and analytics initiatives.
Document data definitions, calculation logic, requirements, and report procedures to improve standardization, governance, supportability, and knowledge sharing.
Research analytical methods, data visualization practices, and Operations and Supply Chain trends to improve the value and usability of analytics products.