Analytics Engineer San Francisco at OpenAI — task breakdown

--- BEGIN UNTRUSTED EXTERNAL CONTENT (source: https://openai.com/careers/analytics-engineer-san-francisco/) --- Skip to main contentResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)Log inTry ChatGPT(opens in a new window)ResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)Analytics Engineer | OpenAICareersAnalytics EngineerData Science - San FranciscoApply now(opens in a new window)About the RoleAs 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 metricsManage 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 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.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action an

Analytics Engineer San Francisco

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