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 Data Enablement Team
Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.
Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.
The Senior Data Analyst Opportunity
Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.
You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.
What you’ll be doing
- 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
- Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
- Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
- Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
- Deliver executive dashboards and product insights based on foundational productionalized data models
- Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
- Ensure that data privacy and governance is a first priority at all stages of the data lifecycle
What you’ll bring to the role
- 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
- Experience working within a Jira/Agile environment to manage and prioritize technical work.
- Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
- Excellent business acumen and emotional intelligence in ambiguous environments
- BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable
And extra credit if you have experience in any of the following!
- Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
- Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
- Experience with version control systems (e.g., Git) and the Pull Request process.
- Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
- Paywall, subscription or authentication based products
#LI-HYBRID
#LI-SH1
P-2929_3560400
Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, 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/can.
The 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.
Okta is an Equal Opportunity 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 complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta Toronto, Ontario, CAN Office
401 Bay St., Toronto, ON, Canada, M5H 2Y4
