Similar Jobs
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead design and deployment of AI agents and automation across customer delivery, defining ROI and performance metrics, building RAG/LLM solutions, creating an AI playbook for CX teams, and partnering with Product and Engineering to drive adoption and quality in implementations.
Top Skills:
Agentic FrameworksAutogptLangchainLlmsPrompt EngineeringRetrieval-Augmented Generation (Rag)
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead the global obligations management function: design and maintain a centralized obligations register, map legal and partner mandates to controls, manage RFI knowledge base and audit register, ensure traceability and remediation, partner with regional legal/compliance/audit teams, and scale the team and GRC tooling to replace manual trackers.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Maintain data integrity and quality through advanced testing and validation of ETL pipelines. Analyze complex data issues, build solutions, mentor junior staff, engage with clients, and support continuous improvement across data management, governance, and pipeline orchestration.
Top Skills:
Apache AirflowAWSAws GlueAzureETLInformatica Data Quality (Idq)PrefectPythonQlikSnowflakeSQL
Job Description SummaryThe Supply Chain Data Analyst will support the RadioPharma Operations team by delivering reliable reporting, dashboards, and analytical insights that improve supply chain performance, network reliability, and patient access across GE HealthCare’s USCAN PET radiopharmaceutical supply chain.
The role sits within RadioPharma Operations and works under the direction of the Supply Chain Data Scientist, supporting broader analytics initiatives by owning recurring reporting, KPI tracking, and foundational operational analyses. The Data Analyst will partner closely with operations, manufacturing, external manufacturing, commercial, and quality teams to convert operational data into clear, actionable insights.
This position supports a highly time-sensitive supply network, including cyclotron manufacturing, radiopharmacy operations, and logistics for PET radiotracers with short half-lives. The successful candidate will bring strong analytical, reporting, and data visualization skills, with an interest in manufacturing, logistics, and supply chain execution.Job DescriptionApplication Deadline: May 19, 2026
The role sits within RadioPharma Operations and works under the direction of the Supply Chain Data Scientist, supporting broader analytics initiatives by owning recurring reporting, KPI tracking, and foundational operational analyses. The Data Analyst will partner closely with operations, manufacturing, external manufacturing, commercial, and quality teams to convert operational data into clear, actionable insights.
This position supports a highly time-sensitive supply network, including cyclotron manufacturing, radiopharmacy operations, and logistics for PET radiotracers with short half-lives. The successful candidate will bring strong analytical, reporting, and data visualization skills, with an interest in manufacturing, logistics, and supply chain execution.Job Description
Key Responsibilities
Operational Reporting & Performance Analytics
- 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.
Supply Planning & Network Analytics Support
- 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
Data Analysis & Insights Development
- 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
Collaboration & Team Support
- 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
Required Qualifications
- Bachelor’s degree in:
- Supply Chain, Business Analytics, Data Analytics, Industrial Engineering, Operations Managementm, Statistics or related field
- 2–5+ years of experience in data analysis, supply chain analytics, or operational analytics
- Experience working with manufacturing, logistics, or operational datasets
Technical Skills
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
- Familiarity with pharmaceutical, PET, or regulated manufacturing environments
Preferred Experience
- Experience supporting operational, manufacturing, or supply chain teams
- Experience analyzing production, logistics, or distribution network data
- Ability to clearly communicate insights to technical and non-technical stakeholders
- Demonstrated ability to work effectively within a data science / analytics team structure
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No
GE Healthcare Chicago, Illinois, USA Office
Chicago, IL, United States
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
