Okta is looking for a Senior Analytics Engineer to support the Enterprise by building reliable, well-modeled, and trusted data for reporting, decision-making, and emerging AI use cases. The role requires designing scalable data models, defining consistent business logic, and establishing a strong semantic foundation that enables both human analytics and machine-driven intelligence.
Requirements
- 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
- Strong SQL skills and experience building analytics-ready data models
- Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
- Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
- Solid understanding of data modeling principles, including dimensional modeling and semantic design
- Ability to navigate highly ambiguous business challenges, translating vague, complex, or competing goals from executive stakeholders into clear, actionable, and robust data solutions
- Experience translating business requirements into clear, maintainable data logic
- Familiarity with SaaS metrics and Finance and People data (e.g., ARR, revenue recognition, billing, attrition etc.)
- Experience with data quality, testing, and documentation best practices
- Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
- Experience with BI tools such as Tableau or Looker
- Strong communication skills and ability to work across technical and business teams
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Health, dental and vision insurance
- Flexible spending account
- Paid leave (including PTO and parental leave)