Seeking a Senior Data Engineer for the Consumer Subscriptions team to own the analytics foundation for X Premium and SuperGrok. The role involves transforming large-scale subscription data into actionable insights, building dashboards, conducting statistical analyses, monitoring data accuracy, and communicating findings to drive product and business strategy.
Senior Data Engineer - Consumer Subscriptions at xAI
New York, NY; Palo Alto, CA
More jobs at xAISalary
USD 180,000 - 440,000
Requirements
Skills
- 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
- Prior work in consumer subscriptions, billing, payments, or monetization analytics at scale
- Experience with BigQuery and real-time analytics pipelines
- Strong product intuition and the ability to connect data insights directly to business outcomes
Responsibilities
- 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
Technologies
SQLPythonpandasnumpyA/B testingcohort analysiscausal inferencesubscription metrics modeling (LTV, churn, retention, conversion, revenue attribution)LookerTableauMetabasePython-based visualization toolsBigQueryreal-time analytics pipelines
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