Analytics Engineer, GTM

Openai • San Francisco, CA

83d • Hybrid

About The Position

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 San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Requirements

• Over 10 years of experience in a relevant Data role within dynamic, outcome-driven organizations.
• 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.
• Demonstrated ability to build effective partnerships across diverse teams and influence decision making with data.
• Proven track record of delivering significant business impact, with a solid track record in Sales, Marketing, Finance, Growth, Support, or other GTM-related areas preferred.

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, sales, product, marketing, growth, 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.

Benefits

• Relocation assistance to new employees.
• Hybrid work model of 3 days in the office per week.

What This Job Offers

• Industry: Professional, Scientific, and Technical Services