Sr. Operations Analyst (Starship)

SpaceX

About The Position

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. OPERATIONS ANALYST (STARSHIP PRODUCTION) At the forefront of SpaceX's mission to make humanity an interplanetary species, Starship is the vehicle that will deliver humans to Mars and beyond. The operations team is at the forefront of decision making and production steering, providing data and data-based tools that drive continuous improvements and growth for the most advanced factory in the world. This Sr. operations analyst role will support Starship production programs through strategic planning, optimization of production processes, and alignment of resources to tasks.

Requirements

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

Nice To Haves

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

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