Operations Analyst

Purpose

Divergent is a technology company based in Los Angeles that has architected a proprietary Adaptive Production System. We automate the design, manufacture, and assembly of complex structures using software, additive manufacturing, and robotic assembly, working with governments, major automotive OEMs, and aerospace primes.

We are seeking a hands‑on, technical candidate to drive production data systemization and simulation efforts. As a member of the team, you will operate at the intersection of manufacturing operations, data, and strategy and will be responsible for scoping, conceptualizing, and implementing high‑impact tools that drive factory operations.

• Partner with leadership to define, implement, and operationalize a measurement framework that translates raw data into structured parameters, revealing operational efficiency, quality, and financial insights.
• Standardize inputs and outputs across models to create continuity between forecasting, scheduling, cost, and pricing.
• Extend, tune, and maintain a discrete‑event simulation that drives factory performance, forecasts demand, and simulates factory scaling scenarios.
• Prototype 0 to 1 parameterized data models and internal tools—including optimization tools, state machines, dashboards and simulation models that drive behavior across floor‑level operators, managers and executives.
• Collaborate with factory operations and engineering teams to identify tool gaps and scope and drive internal and external tool implementations.
• Collaborate with factory data teams to identify data gaps and scope and drive projects to connect factory sensors, equipment, MES, ERP, and other operational systems.
• Drive projects through discovery, requirement definition, data‑backed proposal, functional prototyping, and formal implementation—including business case modeling and ROI justification for internal or external tool investments.
• Conduct a broad range of ad‑hoc analysis spanning process efficiency to complex scenario analyses that inform scheduling, staffing, and investment decisions.
• Create presentations, visual workflows, diagrams, and prototypes to communicate complex problems clearly and align stakeholders in a common direction.
• Clean, validate, and prepare data for analysis and simulation.
• Document systems, pipelines, and assumptions clearly to enable scaling.

• Ability to lawfully access information and technology subject to U.S. export controls.
• Bachelor’s or Master’s in Engineering, Data Science, Data Analytics, Operations Research, or a related field (or equivalent experience).
• Demonstrated experience in data analytics, process improvement, or similar roles.
• Strong proficiency in Python (pandas, Num Py, data pipelines, APIs, light scripting).
• Strong proficiency in SQL and relational data modeling.
• Experience in front‑end HTML development and web hosting.
• Demonstrated ability to perform descriptive and diagnostic analysis, basic statistics, and visualization.
• Demonstrated knowledge of manufacturing terminology and operational data modeling (cycle time, yield, throughput).
• Demonstrated competency with data visualization tools like Power BI.
• Demonstrated competency with UI/workflow visualization tools (Figma, Illustrator, Visio).
• Strong experience with presentation/organizational tools (Microsoft Suite, Atlassian Suite, project management software, Smartsheet).
• Experience gathering project requirements from stakeholders and taking a project from initial concept to finished product.
• Strong presentation and oral skills with the ability to translate technical concepts to non‑technical audiences for stakeholders internal and external to the organization.
• Ability to translate messy and emergent business challenges into structured problem statements.
• Focus on detail, iterative design, human‑centered design, and systems thinking.
• Comfortable in a fast‑paced, dynamic environment.
• Ability to lean on and implement AI tools into daily workflow.

• Experience in a start‑up, consulting, or similar high‑growth, fast‑paced, rapidly changing environment.
• Experience interfacing with engineering and manufacturing groups to understand system…