Analytics Engineer, GTM
Description
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.
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, 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.
Qualifications
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.