Data Analyst, Master Data Coordinator

GE HealthCare

. Develop, maintain, and enhance standard operational dashboards and reports under the guidance of the Supply Chain Data Scientist .

Posted 5/6/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $86,400 - $129,600 per yearWebsite

Tech Stack

Tools & technologies

ERPPythonSQLTableau

About the role

Key responsibilities & impact

Develop, maintain, and enhance standard operational dashboards and reports under the guidance of the Supply Chain Data Scientist
Track key metrics including On-Time Delivery (OTD), reliability, utilization, and supply performance across manufacturing, quality, and logistics
Perform routine and ad-hoc analyses of manufacturing, QC, and distribution data to identify trends, variability, and performance drivers
Support real-time and historical reporting to improve operational visibility and responsiveness
Create and manage master data governance and support SQL database.
Support demand-to-capacity planning through descriptive and diagnostic analysis
Assist with data preparation and analysis for dose allocation and network balancing efforts
Contribute data and insights to initiatives focused on improving network efficiency and resilience
Perform analysis on large operational datasets to identify patterns, anomalies, and improvement opportunities
Apply basic statistical methods to monitor process performance and operational risk indicators
Support forecasting, planning, and optimization work led by the Supply Chain Data Scientist and Head of Materials Management through data preparation and analysis
Document assumptions, metrics definitions, and data logic to ensure clarity and repeatability
Work closely with and take analytical direction from the Supply Chain Data Scientist
Partner with: RadioPharma Operations leadership
Manufacturing and MSAT teams
External Manufacturing and CMO partners
Commercial demand planning teams
Digital / IT data teams
Translate operational questions into structured reports, analyses, and visualizations
Support continuous improvement of analytical tools, dashboards, and data models

Requirements

What you’ll need

Bachelor’s degree in: Supply Chain, Business Analytics, Data Analytics, Industrial Engineering, Operations Management, Statistics or related field
2–5+ years of experience in data analysis, supply chain analytics, or operational analytics
Strong proficiency in: Excel (advanced formulas, pivot tables, data analysis)
Data visualization tools (Power BI, Tableau, or similar)
Experience building and maintaining operational dashboards and recurring reports
Strong attention to detail and data quality
Experience with any of the following is a plus: Supply chain or manufacturing analytics
ERP, planning, or operational data systems
Basic statistical analysis or forecasting
Python or similar tools for data analysis

Benefits

Comp & perks

medical
dental
vision
paid time off
401(k) plan with employee and company contribution opportunities
life insurance
disability insurance
accident insurance
tuition reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysissupply chain analyticsoperational analyticsstatistical analysisforecastingSQLExceldata visualizationPythondata governance

Soft Skills

attention to detailanalytical thinkingcommunicationcollaborationproblem-solvingorganizational skillsadaptabilitycritical thinkingdata quality focuscontinuous improvement