Senior Data Analyst

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.    Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

We are seeking a strategic Senior Data Analyst to act as a thought leader on our team. The ideal candidate will leverage their extensive expertise in quantitative analysis, data strategy, and data storytelling to architect and deliver high-impact analytics that shape business strategy and drive executive-level decisions. As a Senior Data Analyst, you will serve as a strategic advisor to business leaders, product managers, and engineering teams, translating ambiguous business challenges into a clear analytics roadmap. You will own complex analytical initiatives from end-to-end, setting the standard for rigor and quality. This role is critical for not only answering the company’s most challenging questions but also for mentoring a team of analysts and fostering a data-first culture.

Strategic Analytics & Thought Leadership:  Architect and drive the development of innovative reports, predictive models, and analytical frameworks. Go beyond reporting to identify and size new opportunities, risks, and strategic initiatives for the business. Business Partnership & Influence:  Act as a strategic partner to senior leadership, providing expert consultation and data-driven recommendations to influence the business roadmap. Excel at translating complex analytical outcomes into clear, compelling narratives for an executive audience. End-to-End Project Ownership:  Lead the most complex, high-visibility analytics projects, often with ambiguous requirements and cross-functional dependencies. Define the scope, methodology, and success criteria for large-scale analytical initiatives. Mentorship & Team Leadership:  Lead and mentor more junior data analysts, providing technical guidance, coaching on analytical best practices, and fostering their professional growth. Champion a culture of high-quality work, intellectual curiosity, and accountability. Defining Best Practices:  Define and evangelize analytics best practices, frameworks, and methodologies across the organization. Drive initiatives to improve data literacy and ensure analytical rigor is applied throughout the business. Data Strategy & Governance:  Partner with Data Engineering and Product teams to influence data strategy, improve data infrastructure, and drive data governance initiatives. Take a leadership role in ensuring the accuracy, accessibility, and reliability of our core data assets. Qualifications & Skills: Technical Skills SQL Mastery:  Expert-level ability to write, optimize, and troubleshoot highly complex queries. Deep experience with advanced functions, performance tuning, and data modeling in a warehouse environment. Expertise in BI & Data Visualization:  Mastery of at least one enterprise BI platform (e.g., Tableau, Power BI), with a proven ability to design scalable, intuitive, and high-performance dashboards that are adopted by senior leadership. Spreadsheet Fluency:  Advanced Excel or Google Sheets skills, including complex modeling, pivot tables, lookup/index-match functions, and data cleanup techniques. Cloud Data Ecosystems:  Deep familiarity and hands-on experience with a modern data warehouse or lakehouse environment (Snowflake, Databricks), including an understanding of its architecture and cost-management principles and experience with the AI features of modern data tools. AI-Driven Strategy & Automation:  Leads the design and implementation of AI-powered agents and