Operations Analyst

About the role

Divergent is a technology company based in Los Angeles, dedicated to automating the design, manufacture, and assembly of complex structures using non-design specific software, additive manufacturing, and robotic assembly. We work with governments, major automotive OEMs, and aerospace primes globally, addressing the automotive, aerospace, aviation, transportation, and agricultural industries.

Responsibilities

• 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 our inputs/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 à 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 from 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.

Qualifications

• Ability to lawfully access information and technology that is subject to US export controls
• Bachelor’s or Master’s in Engineering, Data Science, Data Analytics, Operations Research, or related field (or equivalent experience)
• Strong proficiency in Python (pandas, NumPy, data pipelines, APIs, light scripting)
• Strong proficiency in SQL and relational data modeling
• Experience in front-end HTML development and web hosting
• Experience in data analytics, process improvement, or similar roles
• 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
• Focus on detail, iterative design, human centered design, and systems thinking
• Comfortable in a fast paced, dynamic environment
• Experience interfacing with engineering and manufacturing groups to understand system designs and the associated constraints
• Familiarity with basic financial concepts and modeling
• Familiarity with MES/ERP/SCADA (OPC-UA, MTConnect, MES/ERP systems, Splunk, InfluxDB)
• Familiarity with operations research / optimization methods (OR Tools, Optuna)
• Familiarity with statistical / machine-learning fundamentals and simulation frameworks (SimPy, AnyLogic)

Benefits

At Divergent, our pay range is based on the level of the job. For Specialist 04 / S04, the range is $100,170.00 - $137,730.00. We provide a holistic compensation package including a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities. We also offer comprehensive health and wellness benefits, investment in growth, and a collaborative and high-performing environment.