# Analytics Engineer, GTM

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA, New York, NY
**Role:** Data Engineering
**Salary:** $220k – $335k/yr
**Experience:** 10+ years
**Skills:** SQL, Python, ETL, Data Modeling, Tableau, Looker, React, Streamlit, Plotly Dash, Data Visualization, Dashboarding, Ai-Assisted Development
**Posted:** 2026-08-26

> Analytics Engineer supporting Go-to-Market teams by building scalable data models, metrics, pipelines, visualizations, and self-service products. The role requires 10+ years of data experience, deep SQL expertise, Python proficiency, and strong business judgment.

## Job Description

## Responsibilities
- Partner with Go-to-Market 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 for planning and daily decision-making.
- Lead cross-functional data projects and establish data strategy for new business domains.
- Build scalable data models and ETL 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 appropriate approaches across analysis, modeling, visualization, and self-service tooling based on audience, urgency, complexity, and 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.
- Communicate complex findings through presentations, written memos, dashboards, and 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 through recommendation and execution.
- High autonomy, resourcefulness, creativity, and sound judgment in technical, operational, and stakeholder contexts.
- Deep SQL expertise and extensive experience with large datasets and ETL workflow design.
- Understanding of software and analytics engineering practices.
- Proficiency in a quantitative programming language, preferably Python.
- Experience with business intelligence 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 analysis into persuasive narratives.
- Exceptional attention to detail and commitment to accuracy.
- Demonstrated business impact, ideally in Sales, Finance, Support, or another Go-to-Market function.

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