Summary
SpaceX is a company focused on enabling human life on Mars through innovative technologies. The Business Operations Analyst for Starlink will analyze data, provide recommendations, and support decision-making in the development and deployment of the world's most advanced broadband internet system.
Responsibilities
- Own global S&OP (Sales & Operations Planning) for specific hardware products to convert hardware into active, happy, paying customers
- Analyze key performance indicators, especially active subscribers, network utilization, produce-to-activate latency, inventory turnover, and hardware unit economics (CAC, payback period); includes developing complex S&OP models and decision-making tools
- Translate analysis into strategic insights and hardware mix strategy to accelerate hardware adoption, maximize lifetime value, and minimize working capital
- Orchestrate global supply allocation and demand forecasting by synthesizing complex demand signals against dynamic, geographically specific network capacity constraints, working directly with Network Engineering
- Drive resource planning for specific verticals, including the execution of critical hardware ramp and sunset plans in close collaboration with Hardware & Manufacturing Engineering
- Enable and accelerate go-to-market execution for products post-licensing and certification to ensure zero-latency deployment
- Identify initiatives for improvement of Starlink’s operational trajectory, including developing, tracking, and executing business initiatives with SpaceX’s leadership
Skills
- Bachelor's Degree in engineering, mathematics, computer science, data science, physics, or other quantitative field
- 1+ years of experience in engineering, manufacturing, product management, operations, FP&A, consulting, banking, or entrepreneurship
- 1+ years of experience in Excel or programming
- Must be available to work onsite full time (no hybrid or remote work), as well as, extended hours and weekends when needed
- Willingness to travel to customer sites, other SpaceX locations, and events 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
- Evidence of exceptional ability, especially within an ambiguous environment
- Quantitative dual degree in engineering field and economics or business field and/or equivalent professional experience
- Demonstrated success driving tangible impact/influencing within a broader organization
- Extreme sense of urgency and ownership; bias toward action and automation
- Ability to read and interpret income statements, balance sheets, and cash flow statements
- Strong proficiency in SQL and Python; ability to handle large datasets independently
- Excellent analytical modeling skills (e.g., Excel, Power BI, Tableau, Looker)
- Strong written and verbal communication skills, particularly with senior business leaders
Qualifications
Must Haves
- Bachelor's Degree in engineering, mathematics, computer science, data science, physics, or other quantitative field
- 1+ years of experience in engineering, manufacturing, product management, operations, FP&A, consulting, banking, or entrepreneurship
- 1+ years of experience in Excel or programming
- Must be available to work onsite full time (no hybrid or remote work), as well as, extended hours and weekends when needed
- Willingness to travel to customer sites, other SpaceX locations, and events 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
Nice to Haves
- Evidence of exceptional ability, especially within an ambiguous environment
- Quantitative dual degree in engineering field and economics or business field and/or equivalent professional experience
- Demonstrated success driving tangible impact/influencing within a broader organization
- Extreme sense of urgency and ownership; bias toward action and automation
- Ability to read and interpret income statements, balance sheets, and cash flow statements
- Strong proficiency in SQL and Python; ability to handle large datasets independently
- Excellent analytical modeling skills (e.g., Excel, Power BI, Tableau, Looker)
- Strong written and verbal communication skills, particularly with senior business leaders