Analytics Engineer, GTM
OpenAIGenerative AI company
San Francisco, United StatesSenior
Microsoft
Nvidia
Thrive Capital
Sequoia Capital
SoftBank
Amazon
Data & AINew
About the role
TL;DR
Build data models, metrics, and products for GTM teams.
- •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.
- •Key Responsibilities 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.
- •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.
- •Requirements 10+ years of experience in a relevant data role within fast-moving, results-oriented organizations.
- •Deep SQL expertise and extensive experience working with large datasets and designing ETL workflows.
- •Proficient in a quantitative programming language, preferably Python.
- •Experience with BI tools such as Tableau or Looker and know how to enable effective self-service analytics.
- •Experience with custom visualization frameworks such as React, Streamlit, or Plotly Dash.
Required skills
SQLPythonLookerTableauReact
Tech stack
SQLPythonTableauLookerReact
