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Principal AI/Business Intelligence Data AnalystF5 Networks • Tower, Minnesota, United States
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Principal AI/Business Intelligence Data Analyst

F5 Networks
  • US
    Tower, Minnesota, United States
  • US
    Tower, Minnesota, United States
Jetzt Bewerben

Über

Role Overview We are seeking a Principal AI/Business Intelligence Data Analyst to define, lead, and scale the transformation of data into trusted, connected, and AI‑ready foundations that support F5’s future digital identity. This role sits at the intersection of data, business processes, and technology, shaping enterprise‑scale data and insight solutions that enable advanced analytics and AI use cases across the organization. Responsibilities Lead analysis and redesign of business processes and data flows to enable enterprise‑wide data connectivity and insight generation. Identify, prioritize, and drive initiatives that transition manual data handling to automated, intelligence‑driven, and scalable solutions. Define and guide the development of AI‑ready data foundations, ensuring data is structured, governed, and accessible for predictive and machine‑learning use cases. Translate complex, ambiguous business problems into strategic data requirements and solution frameworks for reporting, dashboards, predictive analytics, AI/ML initiatives, and streamlined operational processes. Lead the design and evolution of data governance and metadata strategies, emphasizing automation, usability, and long‑term sustainability. Partner with engineering, architecture, and data teams to shape and influence scalable data pipelines, models, and platform capabilities. Contribute to the development of enterprise data products, ensuring alignment with business strategy and analytics needs. Guide testing, validation, and business adoption approaches to ensure successful delivery and measurable outcomes. Establish and evolve data lifecycle management practices, including creation, updates, and remediation across systems. Operate as a key connector between business context and technical execution, driving alignment across senior stakeholders. Identify and communicate risks, dependencies, and opportunities to influence data strategy, investment decisions, and prioritization. Proactively drive improvements to data capabilities in support of AI, advanced analytics, and future‑state business processes. Contribute thought leadership to evolve the organization’s approach toward data transformation, insight generation, and intelligent automation. Drive strategies to maximize the value of data assets, including data cataloging, lineage, discoverability, and marketplace capabilities. Lead root‑cause analysis of systemic data issues, identifying patterns and implementing sustainable, cross‑functional solutions. Qualifications 15+ years of experience in business analysis, data analysis, or related roles with demonstrated impact on complex, enterprise initiatives. Proven experience leading cross‑functional efforts and influencing outcomes across large, matrixed organizations, ideally in SaaS or technology companies with complex data ecosystems. Experience working in Agile, cross‑functional delivery environments. Bachelor’s degree in Business, Information Systems, Data, or a related field; advanced degree a plus. Certifications such as CBAP or Six Sigma preferred. Skills & Abilities Advanced technical, analytical, problem‑solving, and systems‑thinking capabilities. High autonomy and accountability, driving outcomes in complex, ambiguous environments. Strong ability to influence without authority and align diverse stakeholders across Business, Technology, and Data organizations. Expertise in framing complex problems and driving enterprise‑scale solutions aligned to long‑term strategy. Exceptional communication and storytelling skills, translating between executive, business, and technical audiences. Deep proficiency in SQL; experience with Python, R, or similar tools for advanced analytics and data manipulation (preferred). Experience leading or shaping analytics, predictive modeling, or AI/ML initiatives. Forward‑thinking mindset with the ability to define how data drives insights, intelligence, and business value at scale. Experience with data visualization tools (e.g., Power BI, Tableau) preferred. Experience with enterprise data catalogs (e.g., Atlan, Collibra, Alation) preferred. Experience with third‑party enrichment data sources (e.g., Dun &Bradstreet, ZoomInfo, or similar) preferred. Experience with company/account hierarchy across multiple disconnected data sources (preferred). Strong understanding of enterprise transactional systems (e.g., Salesforce, OracleEBS, PIM, Marketo, Gainsight). Deep understanding of data modeling, data transformation, pipelines, and system integration patterns. Strong knowledge of data quality, governance, and metadata frameworks at scale. Passion for data and its role in driving business and customer outcomes. Equal Employment Opportunity F5 is an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran or military status, genetic information, or any other protected status. All aspects of employment, including hiring, compensation, promotion, benefits, training, discipline, and termination, comply with applicable laws. Reasonable accommodations are available for qualified individuals. For assistance, contact accommodations@f5.com.
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  • Tower, Minnesota, United States

Sprachkenntnisse

  • English
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