Supply Chain Analyst – Analytics & Transformation

Work Schedule

Environmental Conditions

Job Description

The Opportunity

We are seeking a Supply Chain Analyst to join the Filtration and Separation Division and play a key role in strengthening our supply chain analytics capabilities while supporting a significant ERP transformation.

This is an opportunity for someone who enjoys working at the intersection of supply chain manufacturing data technology and continuous improvement. You will turn complex operational data into actionable insights develop scalable analytics and automation solutions and partner across the organization to solve meaningful business challenges.

A near-term priority for this role will be supporting the E1 implementation particularly across Quote-to-Cash (QTC) manufacturing inventory and related supply chain processes. You will help ensure critical business data is accurate complete and implementation-ready while providing the analytics needed to support a successful transition and minimize disruption.

Beyond the implementation you will help build stronger and more sustainable supply chain capabilitiesimproving visibility reducing manual work identifying systemic issues and enabling better decisions across inventory forecasting fulfillment customer service and manufacturing.

What Youll Do

Support a Critical ERP Transformation

• Serve as a key supply chain analytics partner for the E1 implementation with a focus on QTC and manufacturing requirements.

• Extract and analyze customer material order inventory manufacturing and transactional data from existing ERP and business systems.

• Cleanse validate transform and reconcile complex datasets to ensure data is accurate complete consistent and ready for implementation.

• Partner with Supply Chain Manufacturing IT Commercial Finance and implementation teams to identify data gaps resolve issues and reduce implementation risk.

• Develop repeatable validation controls and reconciliation processes to support data conversion and business continuity.

• Provide analytical support during cutover stabilization and post-implementation issue resolution.

• Build reporting that provides clear visibility into implementation readiness data quality operational risks and business performance.

Build Better Analytics Automation & Processes

• Translate supply chain challenges and business requirements into practical data reporting automation and process solutions.

• Develop dashboards analytical tools and automated workflows that make complex information easier to understand and act upon.

• Use Python SQL Power BI Excel automation and emerging AI-enabled tools to improve the speed quality and scalability of supply chain analytics.

• Identify opportunities to replace manual or spreadsheet-intensive processes with sustainable repeatable solutions.

• Investigate systemic data and process issues identify root causes and partner with stakeholders to implement lasting improvements.

• Develop business cases that quantify the operational and financial impact of improvement opportunities.

• Create standard work process documentation and training materials that enable successful adoption of new capabilities.

• Lead analytical and transformation projects from problem definition through implementation and measurable results.

Improve Supply Chain Performance

• Develop reporting and analytics that improve end-to-end visibility and enable faster more informed decision-making.

• Identify trends constraints risks and root causes across supply chain and manufacturing performance and translate them into actionable recommendations.

• Support initiatives focused on inventory optimization and working capital back-order reduction fulfillment and customer service improvement lead-time reduction forecast accuracy and manufacturing and operational performance.

• Establish meaningful KPIs and performance monitoring that enable teams to proactively identify risks and opportunities.

• Partner with planning and operational teams to continuously improve forecast accuracy across portfolio product-family and key-item levels.

How Youll Get Here

Education:

• Bachelors degree in Supply Chain Data Science Engineering Business Analytics or a related field required.

Experience & Qualifications:

• 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.

• Demonstrated 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 with the ability to move from symptoms to root causes and practical solutions.

• Ability to translate business needs into data system reporting and process requirements.

• Experience partnering across functions such as Supply Chain Manufacturing IT Finance Commercial and Operations.

• Ability to manage multiple priorities stakeholders risks and deliverables in a dynamic environment.

Skills That Will Help You Stand Out

You do not need to have experience with everything below. We are especially interested in candidates who bring a strong analytical foundation curiosity and an interest in using technology to solve supply chain problems.

• Advanced Microsoft Excel and data-modeling capabilities.

• Experience using scripting and automation to eliminate manual processes and improve data quality and reporting efficiency.

• 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 or analytics tools such as Codex or similar AI coding assistants to accelerate analysis automation documentation or solution development.

• Interest in applying AI and advanced analytics to supply chain challenges such as exception management forecasting inventory optimization data quality and root-cause analysis.

What Will Make You Successful

You will thrive in this role if you:

• Enjoy solving complex problems using both data and business context.

• Understand how supply chain and manufacturing processes connect across the organization.

• Are naturally curious and willing to dig into data to understand why something is happeningnot just what is happening.

• Can communicate complex analytical findings clearly to both technical and business audiences.

• Work effectively across functions and build productive relationships with diverse stakeholders.

• Are comfortable navigating ambiguity and changing priorities.

• Take ownership follow through on commitments and have a bias toward action.

• Look for sustainable solutions rather than one-time fixes.

• Bring strong attention to detail while maintaining sight of the broader business objective.

Additional Requirements

• Relocation assistance is not available for this position. Candidates must be able to work from the designated work location without company-provided relocation assistance.

• Employment sponsorship is not available for this position. Candidates must be legally authorized to work in the United States without requiring current or future employer-sponsored work authorization.

• Employment is contingent upon the successful completion of a background check and drug screening in accordance with applicable company policies and legal requirements.

Compensation and Benefits

This position may also be eligible to receive a variable annual bonus based on company team and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on which includes:

• A choice of national medical and dental plans and a national vision plan including health incentive programs

• Employee assistance and family support programs including commuter benefits and tuition reimbursement

• At least 120 hours paid time off (PTO) 10 paid holidays annually paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave) accident and life insurance and short- and long-term disability in accordance with company policy

• Retirement and savings programs such as our competitive 401(k) U.S. retirement savings plan

• Employees Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits please visit: Experience:

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