Analytics Engineer, GTM

About the Role As a member of the Data team within the Go-to-Market organization, you will help build a data-driven culture, improve decision-making, and advance strategic initiatives through analytics. This is a full-stack data role spanning data modeling, metric definition, visualization, analysis, and self-service tooling. You will build trusted, scalable data sources and products that give the business reliable, actionable insights. The work calls for judgment: you will choose the tool, approach, and level of investment that best fit each problem, from a focused analysis to a durable production data product. As a core partner to the GTM organization, you will address both foundational and ad hoc analytics needs. You will turn complex data into clear narratives that help technical and non-technical audiences understand what is happening, why it matters, and what they should do next. In This Role, You Will • Partner closely with GTM teams to proactively identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions.

• Define, source, validate, and operationalize the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions.

• Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains.

• Build scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets.

• Create dashboards, reports, analytical tools, and other data products that enable stakeholders to answer questions independently.

• Own the lifecycle of metrics, analytical models, and data products from initial exploration and prototyping through production and ongoing maintenance.

• Choose the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on the audience, urgency, complexity, and expected value.

• Exercise strong judgment when prioritizing competing requests, balancing immediate business needs with investments that improve the long-term quality and scalability of the data ecosystem.

• Use AI-assisted development tools to increase productivity while maintaining clear, tested, and maintainable code, data models, and documentation.

• Turn complex findings into clear, persuasive narratives through presentations, written memos, dashboards, and other formats suited to the audience.

You Might Thrive in This Role If You • Have 10+ years of experience in a re

Responsibilities

As a member of the Data team within the Go-to-Market organization, you will help build a data-driven culture, improve decision-making, and advance strategic initiatives through analytics. This is a full-stack data role spanning data modeling, metric definition, visualization, analysis, and self-service tooling. You will build trusted, scalable data sources and products that give the business reliable, actionable insights. The work calls for judgment: you will choose the tool, approach, and level of investment that best fit each problem, from a focused analysis to a durable production data product. As a core partner to the GTM organization, you will address both foundational and ad hoc analytics needs. You will turn complex data into clear narratives that help technical and non-technical audiences understand what is happening, why it matters, and what they should do next. In This Role, You Will • Partner closely with GTM teams to proactively identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions.

• Define, source, validate, and operationalize the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions.

• Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains.

• Build scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets.

• Create dashboards, reports, analytical tools, and other data products that enable stakeholders to answer questions independently.

• Own the lifecycle of metrics, analytical models, and data products from initial exploration and prototyping through production and ongoing maintenance.

• Choose the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on the audience, urgency, complexity, and expected value.

• Exercise strong judgment when prioritizing competing requests, balancing immediate business needs with investments that improve the long-term quality and scalability of the data ecosystem.

• Use AI-assisted development tools to increase productivity while maintaining clear, tested, and maintainable code, data models, and documentation.

• Turn complex findings into clear, persuasive narratives through presentations, written memos, dashboards, and other formats suited to the audience.

You Might Thrive in This Role If You • Have 10+ years of experience in a relevant data role within fast-moving, results-oriented organizations.

• Can independently structure and own ambiguous, high-impact business problems from initial framing through recommendation and execution.

• Are highly autonomous, resourceful, and creative when navigating technical, operational, and stakeholder constraints.

• Exercise strong judgment when deciding what to prioritize, how deeply to invest, and when a quick answer should become a durable data product.

• Have deep SQL expertise and extensive experience working with large datasets and designing ETL workflows.

• Understand effective software and analytics engineering practices and can use AI tools to move faster without creating brittle systems, unclear code, or unnecessary complexity.

• Are proficient in a quantitative programming language, preferably Python.

• Have experience with BI tools such as Tableau or Looker and know how to enable effective self-service analytics.

• Have worked with custom visualization frameworks such as React, Streamlit, or Plotly Dash.

• Can turn complex analysis into persuasive stories using memos, presentations, dashboards, and other formats.

• Bring exceptional attention to detail and a strong commitment to accuracy.

• Have delivered significant business impact, ideally within Sales, Finance, Support, or another GTM function.

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