Lead Analytics Engineer Enhancing Data Systems for Key Stakeholders

Transform data into actionable insights as a Lead Analytics Engineer. Utilize your expertise to design efficient data models and support critical business strategies through collaboration.

This role merges analytics and data engineering, impacting key domains such as Product, Finance, and RevOps. You will create clean, trustworthy datasets by leveraging modern data practices and ensuring high-quality insights are readily available to stakeholders. Your contributions will facilitate strategic decision-making processes and enable self-service analytics across the organization.

Key Responsibilities:

• Develop and own high-quality data models
• Manage the Snowflake warehouse and ingestion
• Enforce best practices for CI/CD and automation
• Standardize metrics across reporting tools
• Coach stakeholders on data literacy practices

Requirements

• 5+ years in analytics engineering or similar roles
• Strong command of SQL and dbt best practices
• Comfortable with large data environments
• Proven cross-team collaboration experience
• Skills in delivering data-driven insights

Drive the evolution of data analytics, ensuring reliable access and impactful insights that empower business leaders.

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