Principal Operations Analyst

Responsibilities

• The Principal Operations Analyst is a high-impact, cross-functional role responsible for delivering data-driven insights that improve manufacturing performance, program execution, and financial outcomes across both commercial production and development pipelines.
• Supports the intersection of Operations, Planning, Program Management, Quality, and Finance, translating complex operational data into actionable intelligence that drives throughput, yield, and profitability.
• Maintain KPIs and dashboards for batch success rates, yield variance, cycle times and capacity utilization.
• Analyze batch-level performance to understand and report production and cost variances, with clearly quantified drivers.
• Partner with Manufacturing and MSAT to support continuous improvement initiatives, tech transfer performance and financial impact of production deviations.
• Provide Site Leadership Team with real-time operational insights to support Tier meetings.
• Support development program tracking across all phases: timeline adherence vs. plan, resource utilization (lab capacity, scientist allocation), cost-to-complete and burn rate.
• Build analytics around scale-up success rates, process robustness indicators.
• Partner with Program Management to identify risks to milestones and deliverables.
• Translate operations into financial outcomes (cost per batch/per kg; yield impact on margins; absorption and utilization metrics).
• Support Product profitability analysis and standard vs. actual cost variance analysis.

• Bachelor’s Degree in Engineering (Chemical, Biochemical, Industrial), Operations Research, Data Analytics, or related field.
• Advanced degree (MBA, MS) preferred.
• Five years of progressive experience in Operations Analytics within a GMP-regulated environment (CDMO/Pharma preferred).
• Demonstrated ownership of end‑to‑end analytics frameworks (e.g., batch‑level profitability, yield analysis, throughput optimization).
• Proven ability to translate operational data into actionable insights tied to revenue, EBITDA, and working capital.
• Hands‑on experience with SIOP, capacity planning, and production scheduling analytics.
• Strong understanding of cost accounting in manufacturing environments (standard costing, variance analysis, absorption).
• Experience supporting executive‑level reporting (M , board materials, KPI dashboards).