OpenAI

Data Science

AnalyticsEngineer

$220–335k San Francisco, California, United States; New York, New York, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Analytics Engineer at OpenAI. Skills: SQL, Python, Tableau, Looker, ETL workflows, data analysis, metrics, models. building a data-centric culture. enhancing decision-making processes”

What You'll Achieve.

driving strategic initiatives through analytics; developing canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights; driving the definition, tracking, and operationalizing of metrics; empower the team to extract and analyze data independently; inform key decisions; drive decision-making at every level; delivering significant business impact

Industry & Context.

Data Science
Problems you'll solve

structuring the analytical approach; driving clear recommendations and execution; navigating data, stakeholder, and operational blockers

What They're Looking For.

Must Have

Over 10 years of experience in a relevant Data role, Highly skilled in SQL, extensive experience extracting large datasets, designing ETL workflows

Nice to Have

Proficient in quantitative programming languages, Python preferred, Proven track record of delivering significant business impact, preferably within Finance, Sales, Support, or other GTM domains

What You'll Do.

building a data-centric culture

enhancing decision-making processes

driving strategic initiatives through analytics

developing canonical data sources and dashboards

Embed with the GTM team as a trusted partner

identifying high-impact analytics problems

pioneering data-driven solutions

Establish a data-driven culture by driving the definition

and operationalizing of metrics

Manage cross-functional data projects about revenue

and other topics core to the business

Create scalable pipelines for data collection

and analysis from multiple sources

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

and tools to communicate complex data insights clearly and persuasively across the organization

How You'll Work.

Team & Collaboration

Embed with the GTM team as a trusted partner; Manage cross-functional data projects; communicate complex data insights clearly and persuasively across the organization

Communication Scope

communicate complex data insights clearly and persuasively; crafting clear data stories using decks, memos, and dashboards

Process & Methodology

Manage cross-functional data projects

Full Job Description

About the Role 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. In this role, you will: - 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. You might thrive in this role if you are/have: - 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 tr

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