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Senior Analytics Engineer
- Chicago, Illinois, United States
- Chicago, Illinois, United States
Über
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.
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.
What you'll be doing 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
What you'll bring to the role
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)
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 you can look forward to as an Okta employee!
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! https://www.okta.com/company/careers/.
Salary Information Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. 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: https://rewards.okta.com/us.
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $132,000 — $182,000 USD
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
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
Okta Experience
Supporting Your Well‑Being
Driving Social Impact
Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in‑person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Equal Opportunity and Diversity Statement 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 https://www.okta.com/privacy-policy/.
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Sprachkenntnisse
- English
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