About the Position

Senior Analytics Engineer

Bellevue, Washington; Chicago, Illinois; San Francisco, California

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. We're all in on this mission. If you are too, let's talk.

The Global Data & Insights Team

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.

The Senior Analytics Engineer, Enterprise Opportunity

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.

Responsibilities

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

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

We Offer

Amazing Benefits
Making Social Impact
Fostering Diversity, Equity, Inclusion and Belonging at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! Okta Careers.

About the Company

Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.

Salary

The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $132,000-$182,000 USD

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $118,000-$162,000 USD

In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: Okta Rewards.

Equal Opportunity Employer

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at Okta Privacy Policy.

U.S. Equal Opportunity Employment Information

Individuals seeking employment at this company are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. When submitting your application above, you are being given the opportunity to provide information about your race/ethnicity, gender, and veteran status.

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Okta complies with all applicable federal, state, and local pay transparency rules. For additional information about the federal requirements, click here.

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The foundation for secure connections between people and technology

Senior Analytics Engineer

Job Description, Responsibilities & Requirements