Business & AI Data Analyst III

4w1 month ago

Guadalajara, MX · Full-time · MXN 700,000 – MXN 950,000

About this role

At F5, data is a critical enabler, and we are transforming how we leverage it to power our business. We are seeking a Business Intelligence Analyst III to help define and operationalize this transformation, sitting at the intersection of data, business processes, and technology. This role enables creation of trusted, AI-ready data foundations that support F5's future digital identity.

You will analyze business processes and data flows to enable end-to-end data connectivity and insight generation, while identifying opportunities to transition from manual data handling to automated, intelligence-driven workflows. You will also contribute to building AI-ready data foundations for predictive and ML use cases.

You will partner with engineering and architecture teams to design and deliver scalable data pipelines, models, and solutions. This role contributes to developing data products that serve business and analytics use cases, acting as a connector between business context and technical execution.

This opportunity directly contributes to enabling F5’s long-term AI strategy through high-quality, connected, insight-ready data. You will drive a shift toward data as a product, where quality, accessibility, and usability are built into our systems. We prioritize a diverse F5 community where each individual can thrive.

Requirements

Business analysis expertise with the ability to translate business needs into scalable data and insight solutions.
Strong data intuition and technical fluency, with a focus on automation, scalability, and impact.
Experience with data quality tools, frameworks, and techniques for ensuring data connectivity and insight generation.
Understanding of AI/ML concepts and how to structure data for predictive and machine learning use cases.
Ability to design or support data governance and metadata practices that prioritize automation.
Proven capability to partner with engineering teams to design and deliver scalable data solutions.
Strong analytical and problem-solving skills to surface risks, dependencies, and opportunities.

Responsibilities

Analyze business processes and data flows to enable end-to-end data connectivity and insight generation, leveraging data quality tools, frameworks, and techniques.
Identify and implement opportunities to transition from manual data handling to automated, intelligence-driven workflows.
Contribute to building AI-ready data foundations by ensuring data is structured, governed, and accessible for predictive and machine learning use cases.
Translate business problems into data requirements that support reporting, dashboards, predictive analytics, and AI/ML initiatives.
Design or support data governance and metadata practices that prioritize automation and usability over manual control.
Partner with engineering and architecture teams to design and deliver scalable data pipelines, models, and solutions.
Contribute to the development of data products that serve business and analytics use cases.
Participate in testing, validation, and business adoption activities, including user acceptance testing.