Principal Data Analyst (San Diego, CA)

The Principal Data Analyst informs business decisions and defines strategy through analysis. This is a “super IC” role: a deep subject matter expert who sinks their teeth into our domain and becomes the go-to authority on our data. You will partner closely with product, engineering, and business leaders, and own the analytics foundation for a new product end to end, from capture in product and system logs, to organization for reporting, to responsible sharing across the business.

The Mindset We’re Looking For

This is not a startup, but we want someone who works like they’re at one.

• Act like an owner. Take responsibility for outcomes, spot problems, and drive solutions without waiting to be asked.
• Be scrappy and resourceful. Get to a good answer quickly with the data and tools available, then improve it.
• Move fast and iterate. Ship a first version, learn, and refine.
• Thrive in ambiguity. Define the problem, approach, and success measures when they aren’t handed to you.
• Wear multiple hats. Move fluidly between analysis, pipeline building, stakeholder consulting, and mentoring.
• Build what’s missing. If a process, standard, or data source doesn’t exist, create it.

Key Success Factors

• Autonomy. Operate independently in a fast-paced environment.
• Communication. Explain complex findings clearly to technical and non-technical audiences.
• Partnership. Work hand in hand with product and engineering.
• Executive presence. Represent data insights to business leaders and influence decisions.
• AI-driven effectiveness. Use AI to improve your effectiveness and to help create a ground-layer source of truth for a new product.

About the role

• Drive analytical decision-making on initiatives within our domain, leading projects from inception through deployment
• Target and segment existing clients based on product requirements, and partner with business teams to act on the results
• Build and maintain the analytics pipeline, from capture in product and system logs through organization for reporting by the tax team
• Ensure pipeline data is accessible to other businesses, with consent and data privacy requirements upheld
• Create a ground-layer source of truth for a new product
• Partner with product and engineering to define what data is captured and how it is instrumented
• Help the team understand data across the ecosystem, from servicing engagement to what is in the data lake versus what needs to be extracted
• Use ...

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