Supply Chain Analyst – Analytics & Transformation
Thermo Fisher Scientific
This listing was originally posted on Thermo Fisher Scientific's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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OfficeJob 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 capabilities—improving visibility, reducing manual work, identifying systemic issues, and enabling better decisions across inventory, forecasting, fulfillment, customer service, and manufacturing.
What You’ll 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 You’ll Get Here
Education:
Bachelor’s 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 happening—not 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
The salary range estimated for this position based in North Carolina is $85,000.00–$114,000.00.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: https://jobs.thermofisher.com/global/en/total-rewards
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