Operations Analyst

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

Benefits offered by this job

Equity plan

Bonus opportunities

Paid vacation

Parental leave

Health benefits

Life insurance

Disability coverage

Job summary

Divergent in Los Angeles is seeking a hands-on data systems specialist to drive production data standardization, simulation, and tool development across manufacturing operations. You will translate messy data into actionable insights, connecting sensors, MES, ERP, and other systems.

The role demands strong Python/SQL, data modeling, and visualization skills, with collaboration across Factory Data Acquisition, Data, Software, and Operations teams. This is a fast-paced, impact‑driven environment.

Qualifications

• Bachelor’s or Master’s in Engineering, Data Science, or related field.
• Experience in data analytics, process improvement, or similar roles.
• Ability to translate technical concepts to non-technical audiences.

Responsibilities

• Define and operationalize a measurement framework translating raw data into insights.
• Standardize inputs/outputs across models to connect forecasting, scheduling, cost, and pricing.
• Extend, tune, and maintain a discrete-event simulation for factory performance.
• Prototype data models and internal tools, dashboards, and simulations.
• Collaborate with factory ops and data teams to scope tool implementations.
• Drive projects from discovery to ROI justification with ROI modeling.
• Conduct ad-hoc analyses informing scheduling, staffing, and investments.
• Create diagrams, presentations, and prototypes to align stakeholders.

Skills

Python

SQL

HTML

Data analytics

Visualization

Presentation skills

Education

Bachelor's or Master's in Engineering/Data Science/Operations Research

Tools

Power BI

Visio

Figma

Excel

Git / APIs

Job description

Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer‑specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production.

Purpose

Divergent is a technology company, based in Los Angeles, on a mission to build the 21st century industrial base with its proprietary Divergent Adaptive Production System (DAPS™). We automate the design, manufacture, and assembly of complex structures using non‑design specific software, additive manufacturing, and robotic assembly. We actively work with governments, major automotive OEMS and aerospace primes globally, addressing the automotive, aerospace, aviation, transportation, and agricultural industries.

We are seeking a hands‑on, technical candidate to be the driver of our production data systemization and simulation efforts. As a member of the team, this candidate 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.

You will act as a translator between functional groups and leadership, partnering with cross functional stakeholders (Factory Data Acquisition, Data, Software, and Operations) to turn messy systems data into actionable insight. This is an applied, hands‑on role that combines data architecture, analysis, and system design to make our operations measurable, predictable, and optimizable.

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 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.

Basic 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)
• 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
• 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 the associated 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)

Work Environment

• 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

At Divergent, our pay range is based on the level of the job.

• Specialist 04 / S04: $100,170.00 - $137,730.00

Pay Range: $100,170 USD - $137,730 USD

What We Offer

• Holistic Compensation Package: Enjoy a world‑class compensation package that includes a competitive salary, equity plan, and discretionary results‑based incentive bonus opportunities, ensuring you're truly valued for your contributions.
• Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year‑end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time.
• Comprehensive Health and Wellness: Prioritize your well‑being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company‑sponsored life insurance and short and long‑term disability coverage for peace of mind.
• Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance.
• Collaborative and High‑Performing Environment: Join our collaborative, dynamic, and high‑performing team within a fast‑paced, mission‑driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint.

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, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

EEO Poster

In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected.

E‑Verify: Right to Work

Our company participates in E‑Verify. E‑Verify is a program that electronically confirms a candidate’s eligibility to work in the United States after completing the Employment Eligibility Verification (Form I‑9). The information provided on the Form I‑9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees.

Eligibility to Work Poster

Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish)

Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO)

Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records.