Business Analyst (Starlink Growth)

Required Skills

Responsibilities

• Perform in-depth analyses of consumer metrics, including Lifetime Value (LTV), Customer Acquisition Cost (CAC), churn rates, and cohort performance, using SQL queries and statistical methods to uncover trends and opportunities
• Develop forecasting models for subscriber growth, revenue projections, and market penetration, incorporating external factors like competitive landscapes and economic indicators
• Create and maintain reporting dashboards and visualizations (e.g., using Tableau, Power BI, or Looker) to track key performance indicators (KPIs) for consumer acquisition, retention, and engagement
• Conduct market research and price analysis, evaluating elasticity, competitive pricing, and promotional impacts to recommend optimizations that drive revenue and affordability
• Collaborate cross-functionally with marketing, product, and sales teams to integrate insights into growth strategies, including A/B testing support and scenario planning
• Identify data gaps and work with engineering teams to improve data collection for consumer use cases, ensuring robust datasets for ongoing analysis
• Deliver presentations and reports to stakeholders, translating technical findings into clear, business-oriented recommendations that influence decision-making
• Support ad-hoc research projects, such as regional market assessments or emerging trends in broadband adoption, blending qualitative insights with quantitative rigor
• Bachelor's degree
• 2+ years of professional experience in business analytics, consulting, market research, or growth operations
• 1+ years of experience with SQL and creating/managing dashboards using data visualization tools (e.g. Tableau, Power BI, Looker)
• Bachelor's degree in business, economics, statistics, computer science, or a related quantitative field
• Advanced SQL skills, including complex joins, window functions, and query optimization
• Experience with forecasting, financial metrics (e.g., LTV, CAC), or pricing analysis
• Proficiency in statistical modeling and forecasting techniques (e.g., time-series analysis, regression in Python or R)
• Experience with ETL processes, data pipelines, or automation scripting (e.g., Python, VBA)
• Background in high-growth consumer tech environments, startups, or consulting firms with a focus on customer acquisition and retention
• Strong research skills, including familiarity with market intelligence tools (e.g., surveys, competitive analysis platforms)
• Excellent communication abilities, with a track record of presenting insights to non-technical audiences and influencing cross-functional teams
• Project management experience, including prioritizing tasks in fast-paced settings and collaborating with diverse stakeholders