Analytics Engineer, GTM

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Requirements:

• 2+ years of experience as an Analytics Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
• Expertise in SQL and Python to transform data into accurate, clean data models.
• Expertise in building multi-step ETL jobs through tooling like dbt and orchestrated through workflow management platforms like Prefect.
• Experience building data reporting and dashboarding in visualization tools to serve multiple cross-functional teams.
• A bias for action and urgency, not letting perfect be the enemy of the effective.
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even it it requires going outside the original job description.

Responsibilities:

• Understand the data needs of GTM and Product teams in terms of key data models and reporting, and translate that into technical requirements.
• Own our dbt instance, defining and maintaining key data pipelines and charts that power core company-wide metrics.
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data.
• Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
• Build insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.
• Build foundational data products and tools to enable self-serve analytics to scale across the company.
• Influence the future roadmap of Product and GTM teams from a data systems perspective.
• Become an expert in our GTM and Product data models and the company's data architecture.