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 driven Data Analyst – Business Intelligence to join our global Services organization, supporting Customer Success and Renewals. This role is essential to enabling data-driven decision-making across a worldwide team by transforming complex, multi-source datasets into strategic insights.
The ideal candidate will bring 5+ years of experience in data analysis, reporting, and business intelligence, with a demonstrated ability to work with large, complex datasets from diverse repositories. This individual will proactively identify data gaps, propose and implement solutions, and synthesize improved data with industry knowledge to deliver high-impact recommendations to business leaders.
Success in this role means accelerating decision-making, improving operational efficiency, and uncovering opportunities that drive customer satisfaction, revenue retention, and long-term growth.
Key Responsibilities:
Analyze global Services Renewals data to uncover trends, forecast performance, and support revenue optimization strategies. Design, build, and maintain dashboards and reports that surface key performance indicators (KPIs) related to renewals, churn, upsell, and customer retention. Collaborate cross-functionally with Renewals, Sales, Customer Success, and Finance teams to deliver insights that improve forecasting accuracy and operational execution. Manage an intake queue for ad hoc and strategic data requests, partnering with business leaders to clarify needs, propose analytical approaches, and drive solutions through to delivery. Support weekly and quarterly business reviews by delivering timely, accurate reporting and insight packages that inform executive decision-making. Work with large, complex datasets from multiple systems, ensuring data integrity, consistency, and usability across platforms. Proactively identify data gaps and quality issues, propose solutions, and lead remediation efforts to enhance analytical accuracy and business impact. Continuously explore data to uncover new opportunities, develop hypotheses, and recommend strategies that improve customer retention and revenue performance. Leverage BI tools (e.g., Power BI, Tableau, Looker) and SQL to automate reporting, streamline workflows, and scale analytics capabilities. Contribute to the development and refinement of predictive models that assess customer renewal behavior and risk indicators. Identify opportunities to apply Artificial Intelligence (AI) and machine learning tools to enhance forecasting, automate insights, and optimize customer success strategies. Stay current on emerging AI technologies and proactively recommend innovative solutions that improve analytical efficiency, insight generation, and strategic decision-making.
Skills / Knowledge / Abilities:
Advanced proficiency in SQL and data visualization tools such as
Power BI, Tableau, and Looker, with the ability to build scalable, user-friendly dashboards. Proven experience extracting, transforming, and analyzing
large, complex datasets from multiple systems, ensuring data quality and consistency. Strong analytical thinking and problem-solving skills, with a proactive mindset for uncovering insights and driving business outcomes. Demonstrated ability to
build and apply predictive models to assess customer behavior, renewal likelihood, and churn risk, using statistical or machine learning techniques. Ability to
translate data into strategic recommendations, combining analytical rigor with business acumen and industry context. Experience supporting
Customer Success, Renewals, or subscription-based business models; familiarity with churn, retention, and upsell analytics is highly preferred. Effective communicator with the ability to present insights clearly to both technical and non-technical stakeholders, including senior leadership. Skilled in managing multiple priorities in a
fast-paced, cross-functional environment, with a strong sense of ownership and accountability. Familiarity with
CRM and ERP systems such as Salesforce, Oracle, or SAP. Working knowledge of
data warehousing and cloud platforms (e.g., Snowflake, BigQuery, Azure) Ability to identify and apply
AI and machine learning tools to enhance forecasting, automate insights, and improve strategic decision-making.
Qualifications:
Bachelor’s degree in Business, Data Analytics, Statistics, Computer Science, or related field. 5+ years of relevant experience in data analytics, preferably in services, subscription, or renewals-focused environment
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.
