Senior Data Analyst (Auth0)

Secure Every Identity from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. Were all in on this mission. If you are too lets talk.

The Data Enablement Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe secure and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience privacy and security so customers can focus on innovation.

Within the Data organization the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders this team owns the data lifecycle from strategy to prototyping to implementation executive dashboard and product level self-service support.

The Senior Data Analyst Opportunity

Reporting to the Manager Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.

Youll serve as a critical data and technical partner that empowers our Sales TAM and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.

What youll be doing

• Partner with peers and leaders in Sales TAM Customer Success Product Engineering and Program Management to develop scalable measurement strategies for our data assets products and services
• Drive scalable semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
• Educate and enlighten data stakeholders with newly available objects and models that will unlock product revenue sales and business insights
• Build reusable data models that support key concepts of the business (Entitlement Activation Utilization Engagement etc.)
• Deliver executive dashboards and product insights based on foundational productionalized data models
• Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
• Ensure that data privacy and governance is a first priority at all stages of the data lifecycle

What youll bring to the role

• 5 years of experience in analytics data engineering or analytics engineering or product management
• 5 years of hands-on experience with data visualization tools (Tableau Looker Streamlit PowerBI Sigma Omni etc.)
• 5 years of SQL experience
• Strong understanding of data lifecycle management including instrumentation governance modeling and self-service interfaces
• Experience working within a Jira/Agile environment to manage and prioritize technical work.
• Build relationships with partners and stakeholders to understand product data needs distill business requirements into technical documentation and prioritize work accordingly
• Excellent business acumen and emotional intelligence in ambiguous environments
• BA or higher preferred; additional relevant work experience in lieu of a degree is acceptable

And extra credit if you have experience in any of the following!

• Cloud based data warehouse technologies (Snowflake BigQuery Databricks etc.)
• Data engineering (Python dbt Kafka Parquet DuckDB etc.)
• Experience with version control systems (e.g. Git) and the Pull Request process.
• Proficiency with advanced data skills/code such as working with Claude code or other LLM-based data analysis tools.
• Paywall subscription or authentication based products

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Required Experience:

Senior IC