Senior Data Analyst (Auth0)

Okta•Washington, DC

3d•$114,000 - $156,200•Hybrid

About The Position

The Senior Data Analyst will join Okta’s Developer Led Growth (DLG) team, a multidisciplinary group focused on making authentication easy for developers and converting curious developers into long-term advocates. The position is part of a two-person data team, partnering with an experienced tech lead while owning an analytics domain and contributing to prioritization decisions. The analyst will provide a trusted analytical perspective across the DLG organization, using data to align stakeholders, uncover unexpected insights, and guide decisions. The role involves building and maintaining trusted data models and dashboards, designing measurement frameworks, analyzing experiments and initiatives, and communicating findings to technical and non-technical audiences. The team also uses AI-assisted analytics, and the analyst is expected to use AI tools to improve SQL development, data exploration, modeling, documentation, and process automation. The role requires strong communication, judgment in prioritizing competing requests, creative problem framing, and technical depth in data analytics. The listed annual base salary range for candidates located in California (excluding the San Francisco Bay Area), Colorado, Illinois, New York, and Washington is $114,000–$156,200. Okta also describes equity where applicable, bonus, health, dental and vision insurance, a 401(k), flexible spending account, and paid leave, including PTO and parental leave.

Requirements

At least 5 years of experience in data analytics.
Strong SQL and data modeling skills.
Experience with dbt, Snowflake, Tableau, and Git is preferred.
Ability to explain complex data findings to both non-technical executives and data engineers, and to communicate clearly in writing.
Experience working in a high-demand environment, with a clear framework for prioritizing competing work and explaining tradeoffs.
Creative problem-solving skills, including questioning problem framing and identifying unexpected insights.
Active use of AI tools, such as LLM assistants, coding tools, or automation, with the ability to describe their impact on work.

Nice To Haves

Experience with Python.
Developer-facing product experience.
Experience translating developer behavior into product insights.
Experience with A/B testing and experimentation design.
Experience with revenue modeling and forecasting.

Responsibilities

Build and maintain Tableau dashboards, Snowflake Streamlit applications, and dbt models that serve as the single source of truth for the DLG business.
Translate complex, cross-functional data into clear narratives and recommendations for stakeholders across product, marketing, sales, finance, and operations.
Proactively identify data gaps, discrepancies, and opportunities, and communicate findings in ways that drive action.
Own prioritization of the analytics roadmap by scoping requests, pushing back when needed, and making transparent tradeoffs.
Analyze A/B experiments and DLG initiatives, and design robust measurement frameworks.
Help automate and scale processes using AI tools, custom SQL, and creative approaches to reduce manual work.
Write clean, well-documented SQL and dbt models that others can build on.