Senior Data Analyst

📋 Description

• Shape strategy using SQL, Python, and analytics to inform product direction.
• Develop predictive models and forecasting tools using Python.
• Build datasets, dashboards, and reporting infra in Snowflake, Segment, Looker, and Heap.
• Automate recurring reporting and analytics using Python.
• Present findings with visuals and narratives to senior stakeholders.
• Improve data quality, consistency, and documentation for scalable analytics.
• Design and analyze A/B tests and experiments in LaunchDarkly to guide product.

🎯 Requirements

• 4+ years in analytics, product analytics, or data science.
• Expert SQL: advanced queries, optimization, performance.
• Proficient in Python for data analysis, automation, and forecasting.
• BI tools (Looker or Tableau) and Snowflake data warehouse experience.
• Strong experimental design and A/B testing experience (LaunchDarkly & Heap).
• Ability to develop predictive models and apply stats in business.

🎁 Benefits

• Equal opportunity employer with a diverse, inclusive workplace.
• High-impact role partnering with Product, Marketing, Finance, and Leadership.
• Cross-functional collaboration across analytics, product, and growth teams.