# Analytics Engineer

**Company**: OpenAI
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full time
**Salary**: $220K – $335K
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/c3f437e7-034b-4ea0-a29e-c62eb23ca24f?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f0bfadd1-a4f

## Description

As an early member of our Data team within the Go-To-Market (GTM) organization, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. This role involves a variety of projects aimed at developing canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights. Most importantly, you should expect to be a core member of the GTM team, helping to bring our technology to a wide range of customers and supporting our self-serve and sales-led motions.

This role is based in either San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

**Key Responsibilities:**

- Embed with the GTM team as a trusted partner, identifying high-impact analytics problems and pioneering data-driven solutions.

- Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics

- Manage cross-functional data projects about revenue, pricing, usage, and other topics core to the business.

- Create scalable pipelines for data collection, cleaning, and analysis from multiple sources, and manage the lifecycle of metrics and models from prototyping to production.

- Develop and refine tools such as dashboards and reports that empower the team to extract and analyze data independently.

- Conduct analyses to uncover insights and inform key decisions.

- Use presentations, memos, and tools to communicate complex data insights clearly and persuasively across the organization.

**Requirements:**

- Over 10 years of experience in a relevant Data role within dynamic, outcome-driven organizations.

- Demonstrated ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach to driving clear recommendations and execution.

- Highly autonomous and resourceful, with a track record of navigating data, stakeholder, and operational blockers.

- Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.

- Proficient in quantitative programming languages, Python preferred.

- Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.

- Familiar with advanced custom visualizations, such as Streamlit and Plotly Dash.

- Adept at crafting clear data stories using decks, memos, and dashboards to drive decision-making at every level.

- Best-in-class attention to detail and unwavering commitment to accuracy.

- Proven track record of delivering significant business impact, preferably within Finance, Sales, Support, or other GTM domains.

## Skills

### Required
- SQL
- Python
- Tableau
- Looker
- Streamlit
- Plotly Dash

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