Apply on Employer Site

SpaceX · 4 hours ago

Sr. Operations Analyst (Starship)

Starbase, TX

Full-time

Onsite

Senior Level

5+ years exp

SpaceX is actively developing technologies to enable human life on Mars. The Sr. Operations Analyst role will support Starship production programs through strategic planning, optimization of production processes, and alignment of resources to tasks.

Advanced MaterialsAerospaceManufacturingNational SecuritySpace Travel

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Define new business processes and systems for high volume production, including manufacturing execution, inventory management, nonconformance resolution, configuration management, material traceability, process control, and maintenance

Act as subject matter expert in multiple production processes and systems, enabling complex data gathering, troubleshooting, and problem solving

Own data integrity, tool maintenance, and reporting quality for the production strategy, operations, and planning team

Develop and improve data inputs for demand signals, machine utilization, and general production prioritization

Analyze and determine insights from trends and operating metrics to inform critical department strategy and targets

Define and develop department-level metrics and associated dashboards that quantify the health of our operation and influence change

Train internal users and leaders on dashboard and tool usage, assist in troubleshooting

Improve data capture for future Star Factory use cases, identifying requirements and collaborating with software development teams on development

Produce data visualizations using software tools such as Grafana and PowerBI

Produce complex ad-hoc queries and reports to steer the production organization

Design, develop, and debug new tools to best fit the needs of a fast-paced growth

Support new line bring-up, continuous improvement, and larger cross-functional strategic initiatives

Integrate with all levels of the business to understand current workflows and identify systematic gaps; help rapidly answer tactical business questions through analytical frameworks

Develop automation that creates efficiencies within Star Factory operations and across functions

Consistently contribute effort, leadership, and creative thinking to solving complex problems in a collaborative fashion and under tight deadlines

Qualification

SQLData visualization toolsManufacturing systems analysisPythonDatabase structuresProject managementJavaScriptCommunication skillsCollaborationProblem solving

Required

Bachelor's degree

5+ years of experience in manufacturing, operations, or consulting role

5+ years of experience with SQL and creating and managing dashboards using data visualization tools

Must be willing to work extended hours and/or weekends as needed

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State

Preferred

SQL proficiency (i.e. advanced joins, views/table distinctions, and basic query optimizations)

Proficient in at least one analytics language (ex. Python)

Experience with web-based Python applications (ex: Flask, Streamlit)

Experience with JavaScript or other front-end technologies for UI development (e.g., React, Vue.js)

Advanced understanding of database structures, query optimizations, ETL development

Start-up, consulting, or other demonstrated experience in high-growth, fast-paced, rapidly changing environment

Strong project management and self-directed prioritization skills

Exceptional ability to communicate technical concepts to non-technical audiences at all organizational levels

Ability to develop and maintain strong relationships across disciplines and with multiple levels of management

Experience performing data analysis on manufacturing systems (e.g. Manufacturing Execution Systems, Enterprise Resource Planning)

Master's degree in computer science, management information systems, statistics, operations management, engineering, mathematics, or similar technical discipline