Senior Data Analyst
Senior Data Analyst who owns data pipelines, builds dbt models, performs proactive analysis on subscription and acquisition metrics, and delivers actionable insights and narratives to leadership and cross-functional teams. Requires strong SQL, Python, dbt, and business intuition.
About the job
Responsibilities
- Drive business performance through proactive data analysis, sharp reporting, and actionable insights that land with leadership.
- Own and evolve data pipelines, ensuring data is fresh, accurate, and trustworthy.
- Build and maintain dbt models that serve recurring business needs across Growth, Finance, and Product.
- Present findings and translate complexity into clear narratives that move decisions forward.
- Monitor pipeline health, troubleshoot issues proactively, and champion continuous improvement in data quality.
Requirements
- 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 and paid acquisition metrics.
- Intellectually curious with a focus on "why" things happened.
- Ownership mindset: proactive communication, end-to-end responsibility, thrives in small collaborative teams.
Nice-to-Haves
- 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).
Skills
SQL, dbt, Python, Airflow, Data Pipelines, Data Quality, LLMs
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