Analytics Engineer, SMB

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 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.