S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Mid-Level Business Intelligence Analyst
XX
Principal AI/Business Intelligence Data AnalystSwiftCruit • Seattle, Washington, United States
Postuler Maintenant
XX

Principal AI/Business Intelligence Data Analyst

SwiftCruit
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Postuler Maintenant

À propos

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.
AI/Business Intelligence Data Analyst – Principal Data is a critical enabler, and we are transforming how we leverage it to power our business—evolving from traditional data management practices toward data‑driven insights, intelligent systems, and AI‑enabled decision‑making.
Role Overview We are seeking a Principal AI/Business Intelligence Data Analyst to define, lead, and scale this transformation. This role sits at the intersection of data, business processes, and technology, shaping the creation of trusted, connected, and AI‑ready data foundations that support F5’s future digital identity at an enterprise level.
This is not a traditional data governance/management role. You will directly contribute to enabling F5’s long‑term AI strategy through high‑quality, connected, and insight‑ready data by:
Translating complex business needs into enterprise‑scale data and insight solutions.
Influencing how data flows across systems to enable advanced analytics and AI use cases.
Driving a shift toward data as a product, where quality, accessibility, governance, and usability are embedded into the design of systems.
The ideal candidate combines deep business analysis expertise, strong data intuition, and technical fluency, and operates with a mindset focused on strategic impact, scalability, and cross‑functional leadership.
Primary Responsibilities
Lead analysis and redesign of business processes and data flows to enable enterprise‑wide data connectivity and insight generation, leveraging modern data quality tools, frameworks, and techniques.
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 across the enterprise.
Translate complex, ambiguous business problems into strategic data requirements and solution frameworks that support:
Reporting and dashboards
Predictive analytics
AI/ML initiatives
Streamlined, scalable 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 the design of scalable data pipelines, models, and platform capabilities.
Contribute to and influence 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.
Knowledge, Skills, and Abilities
Advanced technical, analytical, problem‑solving, and systems‑thinking capabilities.
Demonstrated ability to operate with 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, able to translate 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 (Power BI, Tableau) preferred.
Experience with enterprise data catalogs (Atlan, Collibra, Alation) preferred.
Experience with third‑party enrichment data sources (Dun & Bradstreet, ZoomInfo, or similar).
Experience with company/account hierarchy across multiple disconnected data sources (preferred).
Strong understanding of enterprise transactional systems (Salesforce, Oracle EBS, 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.
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).
Physical Demands and Work Environment Duties are performed in a typical office environment while sitting at a desk or computer table. Responsibilities require the use of a computer, communication over the telephone, and reading printed materials.
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.
Annual base pay: $156,800 – $235,200. Incentive compensation, bonus, restricted stock units, and benefits may be offered. Benefits information: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.
#J-18808-Ljbffr
  • Seattle, Washington, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.