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Senior Data Analyst (Auth0)

Okta - Chicago, IL, United States - Hybrid - posted 2026-10-21

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Salary: USD 114,000 - 156,200 / annual

Okta is seeking a Senior Data Analyst to join the Developer Led Growth (DLG) team, a high-impact, multidisciplinary organization spanning Developer Relations, Developer Marketing, Startup Program, and Product Activation. The DLG team's mission is to make choosing and integrating authentication a delightful experience for developers, turning curious developers into lifelong advocates. You will be part of a two-person data team within DLG, working alongside an experienced tech lead. This role serves as the analytical voice keeping the team aligned on key metrics and driving data-informed decisions across product, marketing, sales, finance, and operations. Key Responsibilities: - Build and maintain Tableau dashboards, Snowflake Streamlit applications, and DBT models that serve as the single source of truth for DLG business metrics - Translate complex, cross-functional data into clear narratives and actionable recommendations for stakeholders at all levels - Proactively identify gaps, discrepancies, and opportunities in data; communicate findings in ways that drive action - Own prioritization of your analytics roadmap: scope requests, push back when needed, and make transparent tradeoffs about resource allocation - Analyze A/B experiments and DLG initiatives; design measurement frameworks that hold up to scrutiny - Help the team 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 You will have real autonomy and a clear voice in what gets built. While your tech lead manages the overall roadmap, you'll have genuine input into prioritization decisions and the freedom to push back when scope isn't right. The role emphasizes creative thinking—finding insights nobody thought to look for—and leveraging AI as a force multiplier in SQL writing, data exploration, prototyping, and documentation. Requirements: - 5+ years in data analytics - Strong SQL and data modeling skills - Experience with DBT, Snowflake, Tableau, and Git (preferred) - Excellent communication and stakeholder management skills; ability to explain complex findings to both technical and non-technical audiences - Demonstrated ability to operate in high-demand environments with clear prioritization frameworks - Creative thinking approach to analytics problems; track record of finding surprising insights - Active proficiency with AI tools (LLM assistants, code tools, automation) as part of daily workflow Nice to Have: - Python experience - Developer-facing product experience - Ability to translate developer behavior into product insights - A/B testing and experimentation design expertise - Revenue modeling and forecasting experience

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