Operations Analyst

Divergent is a technology company on a mission to build the 21st century industrial base with its proprietary Divergent Adaptive Production System (DAPS™). They are seeking a hands-on, technical Operations Analyst to drive production data systemization and simulation efforts, collaborating with cross-functional stakeholders to turn messy systems data into actionable insights.

What you'll do:

• 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

What they're looking for:

• 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)
• Demonstrated experience in data analytics, process improvement, or similar roles
• 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
• 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 (or related)
• 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

Benefits:

• A competitive salary
• Equity plan
• Discretionary results-based incentive bonus opportunities
• Paid vacation
• Sick time
• Company holidays, including a year-end shutdown
• Paid parental leave
• Comprehensive health and wellness benefits, offering both HMO and Premium PPO options
• Company-sponsored life insurance
• Short and long-term disability coverage