Description

You will own the full data lifecycle: building pipelines, modeling structures, and delivering actionable insights to engineering and product teams.

This role is hybrid.

Responsibilities

• Build and manage data pipelines using ETL processes and data modeling techniques.
• Query non-relational databases using SQL and Python to extract complex insights.
• Collaborate with engineers, product managers, and data scientists to define metrics and represent key data insights.
• Ensure data privacy, security, compliance, and quality within allocated areas of ownership.
• Communicate technical findings to varied audiences and drive strategic action plans.

Required Skills

• 5+ years of experience in an analytical capacity developing insights and defining metrics.
• Strong proficiency in SQL and Python for data analysis and querying.
• Experience with ETL, data modeling, and data pipeline development.
• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field (or equivalent practical experience).
• Experience presenting and communicating technical data sets to diverse audiences.
• Ability to think strategically about complex issues and formulate recommendations.

Preferred Skills

• Experience with AI tooling and leveraging AI to enhance productivity.
• Familiarity with LLM models for generating insights.
• Experience working with CRM data systems or data graph structures.

Key Skills

Education

Bachelor's degree