Senior Data Analyst (Auth0)
Role Overview
The Senior Data Analyst role is on Okta's Auth0 Developer Led Growth team, a multidisciplinary group spanning Developer Relations, Developer Marketing, its Startup Program, and Product Activation and Conversion.
The role is part of a two-person data team, with an experienced tech lead as an analytical partner and support for independent ownership.
The analyst helps align the fast-moving organization around key metrics and contributes to analytics roadmap prioritization.
The team uses AI-assisted analytics to write SQL, explore data, prototype models, and document work.
Key Skills for This Role
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Role and team
The Senior Data Analyst role is on Okta's Auth0 Developer Led Growth team, a multidisciplinary group spanning Developer Relations, Developer Marketing, its Startup Program, and Product Activation and Conversion.
The role is part of a two-person data team, with an experienced tech lead as an analytical partner and support for independent ownership.
The analyst helps align the fast-moving organization around key metrics and contributes to analytics roadmap prioritization.
The team uses AI-assisted analytics to write SQL, explore data, prototype models, and document work.
Responsibilities
- Build and maintain Tableau dashboards, Snowflake Streamlit, and DBT models as a source of truth for the business.
- Translate cross-functional data into clear narratives and recommendations for product, marketing, sales, finance, and operations stakeholders.
- Identify data gaps, discrepancies, and opportunities, and communicate findings that drive action.
- Own analytics roadmap prioritization, scope requests, make tradeoffs, and push back when needed.
- Analyze A/B experiments and initiatives, and design measurement frameworks that hold up to scrutiny.
- Use AI tools, custom SQL, and creative approaches to automate and scale processes and reduce manual work.
- Write clean, documented SQL and DBT models that others can build on.
What the role requires
- At least 5 years of experience in data analytics and strong SQL and data modeling skills.
- Experience with DBT, Snowflake, Tableau, and Git is preferred.
- Actively use AI tools, such as LLM assistants, coding tools, or automation, in daily work and be able to describe their impact.
- Communicate complex findings clearly to technical and non-technical stakeholders, manage stakeholder expectations, and push back when requests are not properly scoped.
- Prioritize work in a high-demand environment, explain tradeoffs, and question problem framing to find unexpected insights.
Nice to have
- Python experience.
- Developer-facing product experience or experience translating developer behavior into product insights.
- A/B testing and experimentation design.
- Revenue modeling and forecasting.
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