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Supply Chain Analyst - Big Box
↑1149 30dH-1B · 1 FY23+1 Pro signals
Description
Work Schedule
Standard Office Hours (40/wk)Environmental Conditions
OfficeJob Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
Role Summary
We are seeking a highly analytical Supply Chain Analyst (Band 7) to support end-to-end supply chain analytics across the CMD LSMS/AAT (Big box instrument) portfolio. This role will enable data-driven decision-making through advanced analytics, reporting, and cross-functional collaboration, cutting across supply planning, managing material issues / shortages, driving inventory and distribution analytics.
How will you make an impact?
On the Chromatography and Mass Spectrometry team, you will aid our supply chain to manufacture innovative instruments, consumables, and software solutions for customers working in the analytical sciences (routine testing markets) and scientific research. Our complete workflow solutions enable productivity and efficiency for customers performing food and beverage testing and manufacturing, environmental and industrial testing, biopharma QA/QC, toxicology, and anti-doping.
What will you do?
Support SIOP/S&OE execution through robust analytics, actionable insights, and standardized KPI/performance reporting
Analyze material shortages to identify root causes and drive mitigation strategies; partner with suppliers to improve forecast alignment and enhance supply risk visibility
Deliver E&O inventory analytics and reporting to support business unit inventory optimization and working capital goals
Extract, interpret, and analyze SAP data using key T-codes (e.g., MD04, MD07, MB52, VA05, COOIS) to support operational and strategic decision-making
Conduct network and distribution analytics focused on service levels, transportation cost, lead times, and inventory positioning to support stocking strategy decisions across the business unit
Support supply chain transformation initiatives, including footprint optimization, BOM analytics, SKU rationalization, and operational efficiency programs
Partner with the master data team to identify data integrity issues, recommend corrective actions, and improve overall data accuracy and governance across supply chain systems
How will you get here?
Education
Bachelor’s degree in Supply Chain, Engineering, Operations, or related field
Experience
5–8 years of relevant supply chain analytics / planning experience
Strong expertise across 2+ areas: demand, supply, production, inventory, or distribution
Expertise in SAP ERP system, advanced Excel, SQL, and data visualization tools (Power BI/Tableau) to develop dashboards, KPIs, and executive-level reporting.
Demonstrated ability to synthesize large, complex datasets into actionable business insights and present recommendations to operations and senior leadership teams.
Knowledge, Skills, Abilities
Analytical and statistical skills including the ability to develop and report metrics, develop predictive models and prescriptive analytics.
Experience with advanced planning systems (a plus)
Excellent verbal and written communication skills in English – shown through both written and spoken communication.
Strong analytical and stakeholder management skills
Thermo Fisher Scientific
OTHER
LocationWALTHAM, MA
Employees50000+
Open Jobs2684
Pipeline
Blood samplingN/A
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.