Senior Data Analyst (Auth0)

• →Build and maintain Tableau dashboards, Snowflake Streamlit and DBT models that serve as the single source of truth for the DLG business
• →Translate complex, cross-functional data into clear narratives and recommendations for stakeholders across product, marketing, sales, finance, and ops
• →Proactively identify gaps, discrepancies, and opportunities in the data, and communicate findings in a way that drives action, not just awareness
• →Own prioritization of your analytics roadmap: scope requests, push back when needed, and make transparent tradeoffs about where your time goes
• →Analyze A/B experiments and DLG initiatives; design measurement frameworks that hold up to scrutiny
• →Help the team automate and scale processes using AI tools, custom SQL, and creative approaches to reduce manual work
• →Write clean, well-documented SQL and DBT models that others can build on

• Communication and stakeholder management - You can explain a complex data finding to a non-technical executive and a data engineer on the same day and land differently with each. You write clearly, listen well, and are comfortable pushing back when requirements aren't scoped correctly.
• Prioritization - You've operated in a high-demand environment where you couldn't do everything, and you have a clear framework for how you decide what matters. You can make your reasoning transparent and bring stakeholders along.
• Creative thinking - You approach analytics problems by first questioning whether you're solving the right problem. You've found insights that surprised the people who asked for the analysis.
• AI proficiency - You actively use AI tools (LLM assistants, code tools, automation) as part of your daily workflow and can speak concretely to how they've changed what you're able to produce.
• Technical depth - 5+ years in data analytics; strong SQL and data modeling skills; experience with DBT, Snowflake, Tableau, and Git preferred.

• Experience with Python
• Developer-facing product experience
• Translating developer behavior into product insights
• A/B testing and experimentation design
• Revenue modeling and forecasting

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