OpenAI
Data Science
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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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