Senior Data Analyst

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.

Key Responsibilities:

• 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 automated analytical systems to scale insight delivery, reduce manual effort, and embed intelligent decision-making capabilities within the business.
• Business Systems Acumen: Strong understanding of the data models behind enterprise systems such as CRM (Salesforce).
• Product & Customer Telemetry Expertise (Preferred): Deep expertise in analyzing large-scale, event-based telemetry data to model user journeys, define key performance indicators, and inform product strategy. Experience partnering with engineering to define telemetry architecture and requirements.
• Statistical Programming (Preferred): Proficiency in a statistical programming language like Python for advanced data manipulation, automation, and statistical analysis.

Analytical and Business Skills

• Demonstrated ability to autonomously deconstruct ambiguous strategic questions into a logical, multi-phased analytical plan.
• Exceptional business acumen and a proven track record of using data to influence senior-level business decisions.
• Exceptional communication skills with an ability to tell a compelling story with data and articulate its implications to any audience, from analysts to C-suite executives.
• Minimum of 7+ years of progressive experience in data analytics, with significant experience in leading complex projects and mentoring others.

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or@myworkday.com).

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.