Data Analyst III

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 skilled and experienced Data Analyst III to join our team. The ideal candidate will apply their deep understanding of quantitative analysis, investigative analytics, and data presentation to develop and maintain complex reports and dashboards that significantly impact leadership decisions. As a Data Analyst III, you will partner with workstream leads, business analysts, and product teams to provide subject matter expertise on data, ensuring measurable outcomes and validating experiments. You will leverage cross-functional relationships with key stakeholders to understand business needs, define problems, and ensure your analysis and insights align with business objectives. This role is pivotal in transforming raw data into clear, actionable narratives that inform critical business decisions.

Advanced Analytics & Insight Delivery:  Lead the development and maintenance of complex reports, dashboards, and data models. Apply expertise in quantitative analysis and data mining to deliver actionable analytics and insights that drive strategic decisions. Stakeholder Partnership & Communication:  Serve as a key liaison between the data team and internal stakeholders. Translate ambiguous business questions into structured analyses, present findings to senior management, and influence decision-making through clear, data-driven recommendations. Project Leadership & Collaboration:  Independently manage and coordinate data analytics projects from inception to completion. Partner with cross-functional teams to define requirements, mitigate risks, and ensure the timely delivery of high-quality, valuable solutions. Data Product Lifecycle Management:  Participate in all phases of the internal data product lifecycle, including requirements gathering, design, implementation, testing, and post-launch optimization, with a focus on driving continuous improvement. Mentorship & Best Practices:  Mentor and review the work of junior data analysts, providing guidance on best practices, methodologies, and technical skills to foster a culture of excellence and continuous learning within the team. Data Governance & Quality:  Actively identify and bring awareness to data quality, integrity, and accessibility issues. Lead efforts to implement best practices and report on data discrepancies to ensure the reliability of our data assets. Qualifications & Skills: Technical Skills SQL:  Ability to write and troubleshoot complex queries involving joins, aggregations, subqueries, and CTEs. Data Visualization and BI Tooling:  Hands-on experience building dashboards, reports, and visualizations in at least one enterprise BI platform (e.g., Tableau, Power BI) with a strong understanding of chart selection, filtering, and end-user usability. Spreadsheet Fluency:  Advanced Excel or Google Sheets skills, including pivot tables, lookup/index-match functions, conditional logic, and data cleanup techniques. Cloud Data Platform Exposure:  Familiarity with a modern data warehouse or lakehouse environment such as Snowflake or Databricks. Data Quality and Validation:  Demonstrated ability to profile datasets, identify anomalies and gaps, reconcile figures across sources, and document assumptions and known limitations. AI-Enabled Analytics:  Explores and applies emerging technologies, including the development of AI-powered agents and automated solutions, to streamline