Staff Data Analyst

Okta•San Francisco, CA

17h•Hybrid

About The Position

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 & Insights Team Okta’s Enterprise Data & Insights team empowers data-driven decision making across the company by delivering trusted analytics, insights, and tools. We partner closely with teams such as Marketing, Sales, Finance, Product, and Customer First to unlock business value through data strategy, scalable solutions, and impactful storytelling. The Staff Data Analyst Opportunity We are looking for a Staff Data Analyst who has a passion for driving decisions and insights through data to join the Enterprise Data & Insights team. You will be successful if you are detail-oriented, analytical, like solving big problems, connecting dots, understanding business challenges and determining options to solve using data, and can effectively communicate with team members and business partners. In this role, you will be key in creating the foundation for data-based decision-making across Okta's functional business teams and will work with internal customers to identify ways to effectively leverage data using cutting edge cloud and big data technologies to drive business insights.

Requirements

BS in CS, MIS, related technical degree
7+ years experience as a Data Analyst/Data Engineer/BI Developer
Advanced SQL experience
Excellent communication skills, both written and verbal, ability to work with all levels of the organization
Provide thought leadership on the evolution of our analytics maturity, moving beyond traditional descriptive dashboards toward predictive, AI-enabled solutions that utilize NLP and deep analysis to drive proactive decision-making
Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools
Ability to work cross-functionally and communicate with technical and non-technical teams
Experience with ETL processes, software development, and lifecycle awareness, using Python, Java, Databricks, and Snowflake
Excellent time management and prioritization skills

Nice To Haves

Advanced analytics, data science, AI/ML experience and techniques are a plus

Responsibilities

Serve as the definitive SME for Customer First analytics, defining the data models, metrics, and value drivers that steer company strategy.
Lead the exploration and integration of AI-driven tools to automate workflows and pioneer new methodologies for data discovery, including defining the foundational semantic models that power our AI agents.
Architect the analytics strategy for customer insights, leveraging product telemetry and public data to identify and predict risk and growth signals.
Own the vision for our semantic layer, ensuring it supports advanced modeling, self-service, and high-integrity dashboarding.
Participate in high-impact initiatives in predictive modeling (cross-sell, churn, LTV) that directly influence GTM execution.
Partner with leadership and account teams to translate raw insights into a high-impact, action oriented Command Center, empowering account teams to instantly prioritize and execute on the most urgent opportunities and risks.
Partner with Engineering to co-design data pipelines and transformations that ensure long-term scalability and data quality.
Set the bar for excellence in data storytelling and modeling, mentoring the broader team on best practices and process improvement.