Senior Data Analyst, Field Analytics

<div class="content-intro"><p><strong>Secure Every Identity, from AI to Human<br><br></strong>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.<br><br>This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.</p></div><p><strong>Senior Data Analyst - Field Analytics&nbsp;</strong></p> <p>As part of Okta’s Go-To-Market Strategy &amp; Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth.</p> <p>You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy.</p> <p><strong>Job Duties &amp; Responsibilities:</strong></p> <ul> <li>Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization</li> <li>Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.</li> <li>Documentation &amp; Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible.</li> <li>AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.</li> <li>Global Collaboration: Work cross-functionally with Field Operations, Business Systems, and Data &amp; Insights teams to capture requirements and deliver technical solutions that support our go-to-market initiatives</li> </ul> <p><strong>Required Skills &amp; Qualifications:&nbsp;</strong></p> <ul> <li>5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model