Responsibilities 

• Drive business performance, through proactive data analysis, sharp reporting, and actionable insights that land with leadership
• Own and evolve our data pipelines, ensuring data is fresh, accurate, and trustworthy when it matters
• Build and maintain dbt models, that serve recurring business needs across Growth, Finance, and Product
• Be the storyteller in the room, presenting findings and translating complexity into clear narratives that move decisions forward
• Keep a close eye on pipeline health, troubleshoot issues proactively, and champion continuous improvement in data quality

Requirements

• You communicate data clearly to non-technical stakeholders – including C-level
• Strong SQL skills and working knowledge of dbt (models, tests, documentation)
• Comfortable writing Python scripts for data transformation or pipeline tooling
• Strong intuition around subscription lifecycle & paid acquisition metrics – you’ve lived in this space before
• Intellectually curious: You aren’t satisfied with “what” happened; you are focused on “why” it happened.
• An ownership mindset – you communicate proactively, take end-to-end responsibility, and thrive in a small, collaborative team

Nice to have: 

• Experience managing ingestion pipelines or working with orchestration tools like Airflow
• Familiarity with data quality or observability tools
• Experience using AI tools to accelerate data work – LLMs for SQL generation, documentation, anomaly detection, or pipeline debugging