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 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.
Key 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, 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.
Requirements:
- 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.