Business Analyst (Customer Success)

TL;DR

Business Analyst (Customer Success): Analyzing consumer metrics and market dynamics for Starlink to drive subscriber growth and retention with an accent on LTV, CAC, and churn modeling. Focus on building forecasting models, creating actionable dashboards, and collaborating cross-functionally to optimize consumer value.

Location: Must be based in Bastrop, TX (Onsite)

Company

SpaceX is an aerospace manufacturer and space transportation company dedicated to enabling human life on Mars and revolutionizing global connectivity through the Starlink satellite constellation.

What you will do

• Perform in-depth analyses of consumer metrics like LTV, CAC, and churn using SQL and statistical methods.
• Develop forecasting models for subscriber growth, revenue projections, and market penetration.
• Create and maintain reporting dashboards in tools like Tableau, Power BI, or Looker.
• Conduct market research and price analysis to recommend optimizations for revenue and affordability.
• Collaborate with marketing, product, and sales teams to support A/B testing and growth strategies.
• Identify data gaps and work with engineering to improve data collection for consumer use cases.

Requirements

• Must be a U.S. citizen, lawful permanent resident, or eligible for ITAR authorization.
• Bachelor's degree in a quantitative field.
• 2+ years of professional experience in business analytics, consulting, or growth operations.
• 1+ years of experience with SQL and data visualization tools.
• Ability to work extended hours and weekends as needed.
• Ability to travel between various SpaceX sites.

Nice to have

• Advanced SQL skills including window functions and query optimization.
• Proficiency in Python or R for statistical modeling and forecasting.
• Experience with ETL processes and data pipelines.
• Background in high-growth consumer tech or consulting environments.

Culture & Benefits

• Opportunity to work on revolutionary satellite technology with global impact.
• Collaborative environment focused on data-driven decision-making.
• Exposure to cross-functional teams including engineering, product, and marketing.
• Commitment to merit-based employment and equal opportunity.