Senior Analytics Engineer, Okta
$118-182k
Salary depends on location. + Bonus
Management platform securing resources from cloud to ground
Open for applications
Management platform securing resources from cloud to ground
1001+ employees
Open for applications
$118-182k
Salary depends on location. + Bonus
1001+ employees
Company mission
To improve the connections between people and tools to make companies more productive and secure.
Role
Who you are
- 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
What the job involves
- Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products
- We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale
- We are seeking 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
- This role sits at the intersection of business context and technical execution
- You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence
- You will partner closely with Finance, People and Company Operations stakeholders, Data Analysts, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows
- Data Modeling & Semantics:
- Design, build, and maintain scalable data models using dbt and Snowflake
- Define and standardize core Finance, HR and Enterprise level metrics (e.g., revenue, ARR, billing, Attrition, Executive Insights, Security) with clear, governed logic
- Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
- Contribute to a shared semantic layer that supports both analytics and AI use cases
- AI-Ready Data & Snowflake Ecosystem:
- Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
- Enable structured data foundations that support LLM-powered use cases, semantic querying, and intelligent applications
- Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and trust
- Data Quality, Governance & Trust:
- Implement robust testing, validation, and documentation practices in dbt
- Ensure consistency across reports and dashboards through shared definitions and reusable models
- Apply data governance best practices, including access controls, lineage, and auditability
- Partner across teams to establish clear ownership and accountability for data assets
- Collaboration & Delivery:
- Partner with Finance, Analysts, and cross-functional stakeholders to translate business needs into data solutions
- Support self-service analytics by building intuitive, reusable datasets
- Contribute to scalable data workflows that balance immediate business needs with long-term maintainability
- Work within an agile environment, contributing to planning, prioritization, and continuous improvement
- AI and Data Mindset:
- Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
- Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
- A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
- Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Enterprise analytics
Our take
Okta started off as an identity company where organisations, large and small, could tap into the company to have a single sign-on interface to access all cloud applications now centralised. Okta has since expanded to provide identity management at the device as well as the server level.
The new approach towards network security is increasingly based on identification and authentication, and Okta is on track to become the go-to vendor in the space. It aims to do so by developing products that enable people to access applications and other tools more smoothly and securely than ever before.
Okta has taken strides towards expansion through significant employee growth and shuffling executive leadership. The company has also made lateral moves such as tackling governance concerns, opening up new paths for revenue.
Freddie
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Sep 2015
$75m
SERIES F
Jun 2014
$75m
SERIES E
Total funding: $229.3m
Company benefits
- Work from home opportunities
- Health + Wellness
- Financial Benefits
- Pay + Incentives
- Time Off
- Everyday Living
- Resources
Company HQ
The East Cut, San Francisco, CA
Leadership
Todd McKinnon
(Co-Founder & CEO)VP of Development at Salesforce.com and has nearly a decade of experience in various engineering and leadership roles at PeopleSoft.
Frederic Kerrest
(Co-Founder & Vice Chairman)Worked in Sales and Business Development at Salesforce.com, and previously co-founded high-tech consulting firm Meridian Global Solutions.
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