Senior Data Engineer - Consumer Subscriptions

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.

Requirements

• 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.

Preferred Skills

• 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.