Analytics Engineer, GTM

Responsibilities

• Partner with GTM teams to identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions.
• Define, source, validate, and operationalize business metrics.
• Lead cross-functional data projects, including setting data strategy for greenfield domains.
• Build scalable data models and pipelines integrating and transforming multiple data sources into trusted datasets.
• Create dashboards, reports, analytical tools, and self-service data products.
• Own metrics, analytical models, and data products from exploration and prototyping through production and maintenance.
• Select the appropriate approach for each problem, balancing audience, urgency, complexity, and expected value.
• Prioritize competing requests while balancing immediate needs with long-term data quality and scalability.
• Use AI-assisted development tools while maintaining tested, maintainable code, data models, and documentation.
• Present complex findings through clear narratives, presentations, written memos, dashboards, and other audience-appropriate formats.

Requirements

• 10+ years of experience in a relevant data role within fast-moving, results-oriented organizations.
• Ability to independently structure and own ambiguous, high-impact business problems from framing through recommendation and execution.
• High autonomy, resourcefulness, and creativity when navigating technical, operational, and stakeholder constraints.
• Strong judgment in prioritization and investment decisions.
• Deep SQL expertise and extensive experience with large datasets and ETL workflows.
• Understanding of software and analytics engineering practices.
• Proficiency in a quantitative programming language, preferably Python.
• Experience with BI tools such as Tableau or Looker and self-service analytics.
• Experience with custom visualization frameworks such as React, Streamlit, or Plotly Dash.
• Ability to turn complex analyses into persuasive stories.
• Exceptional attention to detail and commitment to accuracy.
• Demonstrated business impact, ideally in Sales, Finance, Support, or another GTM function.