Associate Data Analyst - Global Procurement & Planning COE
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Key skills for this role
Role Overview
Support data-driven decision-making across order fulfillment, supply chain, logistics, and customer care functions.
Analyze and visualize operational data to improve service levels, fulfillment performance, and customer satisfaction.
This is an early-career analyst opportunity within a global life sciences and diagnostics company.
Key Skills for This Role
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Position Summary
Support data-driven decision-making across order fulfillment, supply chain, logistics, and customer care functions.
Analyze and visualize operational data to improve service levels, fulfillment performance, and customer satisfaction.
This is an early-career analyst opportunity within a global life sciences and diagnostics company.
Data Analysis and Reporting
- Collect, clean, validate, and analyze data from SAP ECC, SAP S/4HANA, and other enterprise sources.
- Create and maintain operational dashboards and reports using Power BI, Tableau, or other visualization tools.
- Monitor key metrics across supply chain, order fulfillment, inventory, and customer service.
- Identify trends, anomalies, and opportunities for process improvement.
- Prepare regular reports and presentations for global operations stakeholders.
Business Process Support
- Document and map order fulfillment and supply chain processes in line with operational standards.
- Support process improvement initiatives across customer care, logistics, manufacturing, and procurement.
- Participate in root cause analysis and help identify corrective actions.
Systems and Data Management
- Maintain data accuracy across reporting systems and databases.
- Support SAP data extraction, validation, and reporting activities.
- Assist in maintaining analytical tools, data models, and reporting structures.
Collaboration and Learning
- Collaborate with planning, procurement, logistics, customer service, and manufacturing teams across the global network.
- Support transformation and digitalization projects and provide analytical support in stakeholder meetings.
- Stay informed about analytics tools, industry trends, and best practices in life sciences and diagnostics operations.
- Learn about AI, automation, and advanced analytics as part of digital transformation efforts.
Education and Experience
- Bachelor's degree in Supply Chain, Engineering, Statistics, Business Analytics, Information Technology, Mathematics, or a related field.
- 0–3 years of experience in data analytics, business analytics, supply chain, or operations.
- Internship or project experience in data analysis is preferred.
Technical Skills
- Strong Microsoft Excel skills, including Pivot Tables, Power Query, VLOOKUP/XLOOKUP, and formulas.
- Basic SAP ECC or SAP S/4HANA knowledge is preferred.
- Exposure to Power BI, Tableau, or other visualization tools is preferred.
- Basic SQL knowledge is preferred.
- Proficiency in Microsoft Office Suite.
Core Competencies
- Analytical thinking and problem-solving.
- Attention to detail.
- Data visualization.
- Clear communication.
- Teamwork and collaboration.
- Continuous improvement mindset.
About Revvity
Revvity operates in life sciences, diagnostics, and applied genomics across more than 190 countries.
The company serves areas including newborn screening, oncology, immunology, and reproductive health.
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