Senior Data Engineer, xAI

• 5+ years of experience as a data analyst (or equivalent) with a proven track record in revenue, subscription, or growth analytics
• Strong SQL and Python proficiency (pandas, numpy, etc.) for data extraction, cleaning, and analysis
• Deep experience with statistical methods, A/B testing, cohort analysis, and causal inference
• Strong familiarity with subscription metrics and modeling (LTV, churn, retention, conversion, revenue attribution, etc.)
• Skilled at building intuitive dashboards and visualizations (Looker, Tableau, Metabase, or Python-based tools)
• Ability to handle large-scale data with a strong emphasis on accuracy, rigor, and storytelling

Desirable

• We’re seeking a Senior Data Engineer to join the Consumer Subscriptions team
• You will own the analytics foundation for X Premium and SuperGrok — one of X’s fastest-growing revenue organizations
• You will dive deep into the entire consumer subscription ecosystem, turning massive-scale data into clear, actionable insights that drive strategic decisions, optimize revenue, and shape product direction
• This high-impact role combines rigorous statistical analysis, compelling visualization, and hands-on data engineering to monitor performance, measure impact, surface opportunities, and ensure every initiative moves the needle
• Own end-to-end analysis of the consumer subscriptions ecosystem — including acquisition, conversion, retention, churn, revenue, pricing, promotions, bundles, and global performance
• Build and maintain high-impact dashboards and visualizations that give the team real-time visibility into key metrics and trends
• Perform deep statistical analysis and experimentation to quantify the impact of new features, offers, communications, and market expansions
• Identify where the team should focus next by uncovering growth opportunities, user behavior patterns, and optimization levers
• Design and run ongoing monitoring systems and automated audits to ensure data accuracy, integrity, and compliance at scale
• Write efficient code (SQL, Python, etc.) to extract, transform, and analyze complex datasets from multiple sources
• Translate complex findings into clear, compelling narratives and recommendations that influence engineering, product, and business strategy