Supply Chain Analyst – Analytics, Transformation
Job in
Rochester, Olmsted County, Minnesota, 55905, USA
Listed on 2026-09-17
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-17
Job specializations:
-
IT/Tech
Data Analyst, Business Systems & Technology Analysis, Business Intelligence
Job Description & How to Apply Below
- Support the E1 ERP implementation, focusing on Quote-to-Cash (QTC) and manufacturing requirements
- Extract and analyze customer, material, order, inventory, manufacturing, and transactional data
- Cleanse, validate, transform, and reconcile datasets for implementation readiness
- Partner with Supply Chain, Manufacturing, IT, Commercial, Finance, and implementation teams to resolve data gaps and reduce risk
- Develop validation controls and reconciliation processes for data conversion and business continuity
- Provide analytical support during cutover, stabilization, and post-implementation issue resolution
- Build reporting on implementation readiness, data quality, operational risks, and business performance
- Translate supply chain challenges into data, reporting, automation, and process solutions
- Develop dashboards, analytical tools, and automated workflows
- Use Python, SQL, Power BI, Excel, automation, and AI-enabled tools to improve supply chain analytics
- Replace manual or spreadsheet-intensive processes with sustainable solutions
- Investigate systemic data and process issues, identify root causes, and implement lasting improvements
- Develop business cases quantifying operational and financial impacts
- Create standard work, process documentation, and training materials
- Lead analytical and transformation projects from problem definition through implementation and measurable results
- Develop reporting and analytics to improve end-to-end supply chain visibility and decision-making
- Identify trends, constraints, risks, and root causes across supply chain and manufacturing performance
- Support inventory optimization, working capital, back-order reduction, fulfillment, customer service, lead-time reduction, forecast accuracy, and manufacturing performance initiatives
- Establish KPIs and performance monitoring
- Partner with planning and operational teams to improve forecast accuracy across portfolio, product-family, and key-item levels
- Bachelor’s degree in Supply Chain, Data Science, Engineering, Business Analytics, or a related field required
- 4+ years of experience working with end-to-end supply chain processes such as planning, inventory management, manufacturing, order fulfillment, or customer service
- Experience extracting, transforming, validating, and analyzing data from ERP and other enterprise business systems
- Hands‑on experience using Python for data transformation, validation, automation, or analytics
- Strong working knowledge of SQL, including querying, joining, validating, and analyzing data across multiple sources
- Experience developing Power BI dashboards, data models, KPIs, and business performance reporting
- Ability to work with large, complex datasets and translate analysis into clear business insights and recommendations
- Experience supporting ERP implementations, system transformations, process improvements, or significant changes to reporting and analytics capabilities
- Strong analytical and problem‑solving skills
- Ability to translate business needs into data, system, reporting, and process requirements
- Experience partnering across Supply Chain, Manufacturing, IT, Finance, Commercial, and Operations
- Ability to manage multiple priorities, stakeholders, risks, and deliverables in a dynamic environment
- Advanced Microsoft Excel and data-modeling capabilities
- Experience with scripting and automation
- Experience with ETL, data transformation, data integration, data governance, master data, or data-validation methodologies
- Experience developing repeatable data pipelines, automated controls, or scalable analytical solutions
- Familiarity with ERP migration, data conversion, system transformation, and reconciliation activities
- Experience integrating data across multiple enterprise systems
- Experience using AI-enabled development…
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