Analyst Commodity II

Position Title: Analyst Commodity II

Work Location: Remote or Onsite at North Chicago, IL

Assignment Duration: 5 months (Possibility of extension)

Position Summary:

* Collaborate with scientists and manufacturing subject matter experts (SMEs) to gather, analyze, and validate business & technical requirements for process performance analytics platforms and capabilities.

* Leverage expertise in operations, biologics, CMC, and manufacturing systems to identify needs, gaps, and opportunities for process enhancement.

Key Responsibilities:

* Collaborate with scientists and manufacturing subject matter experts (SMEs) to gather, analyze, and validate business & technical requirements for process performance analytics platforms and capabilities.

* Leverage expertise in operations, biologics, CMC, and manufacturing systems to identify needs, gaps, and opportunities for process enhancement.

* Craft detailed documentation to support Software Life Cycle (SLC) processes, including requirements, specifications, validation, and change control.

* Design and optimize business processes by translating business needs into technical solutions; contribute to system implementation and integration.

* Facilitate solution testing efforts (functional, UAT) to ensure delivered systems meet business requirements and quality standards.

* Support value data capture, metric definition, and quantitative analyses to enable data-driven decision making and process improvements.

Qualification & Experience:

* Bachelor's degree in engineering, life-sciences, or related field (advanced degree or relevant certifications a plus) with 3 to 5 years of relevant experience.

* Proven experience in requirement gathering, process engineering, and business systems analysis within manufacturing, operations, or biologics/CMC environments.

* Working knowledge of manufacturing systems, operations, and the SLC framework.

* Excellent communication and interpersonal skills to engage with technical and non-technical stakeholders while supporting the maintenance of business relationships.

* Proficiency in documenting requirements, process flows, and validation artifacts.

* Experience with solution testing and data analytics (PowerBI, Excel, Dataiku, Python, SQL).

Additional Information:

* Advanced Degree in related field

* Experience providing/supporting development of teaching or training materials

* Experience being the voice of the customer

* Experience in data science, data engineering, machine learning, or analytics engineering.