Senior Data Analyst, Field Analytics
Summary
Builds and maintains analytics tools like Tableau dashboards and Snowflake datasets to guide Okta’s global sales strategy, using SQL, Tableau, Salesforce, and AI-driven workflows.
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Senior Data Analyst - Field Analytics
As part of Okta’s Go-To-Market Strategy & 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.
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.
Job Duties & Responsibilities:
- Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization
- 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.
- Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible.
- 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.
- Global Collaboration: Work cross-functionally with Field Operations, Business Systems, and Data & Insights teams to capture requirements and deliver technical solutions that support our go-to-market initiatives
Required Skills & Qualifications:
- 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model.
- 2+ years of mandatory experience in Tableau
- Technical Stack Expertise in SQL (Snowflake), BI Visualization tool (Tableau), and CRM data (Salesforce)
- Practical experience using Generative AI (e.g., Claude Code, GPT, Gemini, or GitHub Copilot) to improve technical productivity.
- A strong "documentation-first" mindset with the ability to create clear, concise technical and functional manuals.
- A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global team.
- Proven ability to translate complex data logic into clear, concise narratives.
Preferred Qualifications:
- Deep understanding of enterprise software sales processes, field/sales operations, and cross functional GTM mechanics.
- Proven ability to operate independently within a global model, taking complex requirements from US-based stakeholders, execute high-quality technical work during India business hours, and provide comprehensive handoffs that allow projects to progress 24/7 without real-time oversight.
- Proficiency with scripting (python) & data modeling (dbt)
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