Operations Analyst

Divergent; Torrance (CA); On-site; USD 100,170 - 137,730; Full time

Benefits offered by this job

Wellness and Time Off: paid vacation and parental leave

Comprehensive Health Plan: HMO and Premium PPO options

Learning and Development reimbursement

Job summary

Divergent, a technology company in Los Angeles, seeks a technical candidate for a data systemization role. The position involves creating tools for optimizing factory operations and data analytics. Candidates should have proficiency in Python and SQL, as well as a Bachelor's or Master's degree in a relevant field. The compensation ranges from $100,170 to $137,730 USD with a comprehensive benefits package including paid time off and health insurance.

Qualifications

• Demonstrated experience in data analytics or process improvement.
• Strong presentation skills translating technical concepts to non-technical audiences.
• Ability to access information subject to U.S. export controls.

Responsibilities

• Define and implement a measurement framework for operational efficiency.
• Collaborate with teams to scope and drive projects connecting factory systems.
• Conduct ad-hoc analysis to inform scheduling and staffing.

Skills

Python (pandas, NumPy, data pipelines)

SQL and relational data modeling

Data visualization tools (Power BI)

Descriptive and diagnostic analysis

Presentation and organizational tools (Microsoft Suite)

Education

Bachelor’s or Master’s in Engineering, Data Science, or related field

Tools

HTML development

Atlassian Suite

Figma

Visio

Job description

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.

The Role

• 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.

Basic Qualifications

• 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, 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.
• 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.

Preferred Qualifications

• 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 designs and their constraints.
• Experience interpreting engineering drawings and CAD.
• 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).
• Office: Desk work, programming, and design tasks.
• Shop floor: Machine operation, handling parts, exposure to high noise levels, machine electrical systems, and varying temperature conditions.

Compensation

Pay Range: $100,170 – $137,730 USD (Specialist 04 / S04).

What We Offer

• Holistic Compensation Package: competitive salary, equity plan, discretionary results‑based incentive bonus opportunities.
• Wellness and Time Off: paid vacation, sick time, company holidays, year‑end shutdown, paid parental leave.
• Comprehensive Health and Wellness: HMO and Premium PPO options, company‑sponsored life insurance, short‑ and long‑term disability coverage.
• Investment in Growth: reimbursement for learning and development initiatives.
• Collaborative and High‑Performing Environment: dynamic, mission‑driven team fostering innovation and integrating people and technology.

Equal Employment Opportunity

Equal Employment Opportunity: Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Divergent provides affirmative action in employment for Qualified Individuals with Disabilities and Protected Veterans in accordance with federal regulations.

E‑Verify: Our company participates in E‑Verify, electronically confirming eligibility to work in the United States.

Los Angeles Fair Chance Initiative for Hiring – we will consider qualified applicants with arrest and conviction records per the ordinance.