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 AI to improve the speed, quality, and effectiveness of your work
Analyze data with statistical methods, interpret results, and summarize findings in written and oral form for varied audiences
Represent data insights to business leaders and recommend business solutions
Ensure data integrity and support data governance, including periodic validation and alignment with IT partners on source systems
Work closely with business analysts, data engineers, and modelers to deliver holistic business intelligence solutions
Design data collection standards and share best practices
Mentor and coach other data analysts
About you
Minimum Qualifications
Extensive experience analyzing data sets in a business setting
Demonstrated experience with data visualization tools (e.g., Tableau, Power BI)
Demonstrated experience with industry-standard statistical tools (e.g., SAS, R, Python) and advanced statistical knowledge applied to business decisions
Advanced SQL or other querying languages to create data sets
Deep domain knowledge of our business area, with the ability to deliver strategic, actionable recommendations
Experience with client targeting and segmentation based on product requirements
Experience designing, building, and maintaining analytics pipelines, from data capture through reporting-ready data sets
Working knowledge of data privacy and consent requirements
Comprehensive knowledge of our data landscape and external data sources, including what is in the data lake versus what must be extracted
Demonstrated ability to lead end-to-end analysis projects that result…