Senior Data Analyst (auth0)

Okta Okta · Enterprise · Bangalore, India · Product & Platform Data-693

This role focuses on building scalable semantic data models to enable analytics and product insights for Sales, TAM, and Customer Success teams within Okta's Auth0 platform. It involves data lifecycle ownership, data tooling enablement, and fostering safe data usage for reporting and analysis, with a focus on identity and AI security.

What you'd actually do

  1. 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
  2. Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
  3. Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
  4. Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
  5. Deliver executive dashboards and product insights based on foundational productionalized data models

Skills

Required

  • analytics
  • data engineering
  • analytics engineering
  • product management
  • data visualization tools
  • SQL
  • data lifecycle management
  • instrumentation
  • governance
  • modeling
  • self-service interfaces
  • Jira/Agile environment
  • relationship building
  • business acumen
  • emotional intelligence

Nice to have

  • Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
  • Python
  • dbt
  • Kafka
  • Parquet
  • DuckDB
  • Git
  • Pull Request process
  • Claude code or other LLM-based data analysis tools
  • Paywall, subscription or authentication based products

What the JD emphasized

  • 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