Senior Business Intelligence Analyst - Enterprise Storage Strategy & Operations

Job Summary NetApp•San Jose, CA

7h•Remote

About The Position

NetApp is a leader in intelligent data infrastructure, providing unified storage, integrated data services, and solutions to help organizations maximize their data's potential. The Enterprise Storage business unit, NetApp's largest and most impactful, is a multi-billion dollar portfolio encompassing all-flash performance systems, capacity flash, and hybrid platforms. This portfolio supports mission-critical workloads for the world's largest enterprises and is central to emerging trends like enterprise AI and next-generation cloud architectures. The Strategy & Operations (S&O) team is integral to this business, collaborating with NetApp's top executives to ensure the Enterprise Storage organization focuses on the right priorities and achieves its key goals. The team actively contributes to core product strategy decisions and drives operational rigor to accelerate execution. This role offers cross-functional collaboration with Product, Engineering, Finance, Pricing, and StratOps to inform executive decisions throughout the product lifecycle, from strategic planning and development to new product introduction, growth, and end-of-life. The position provides direct exposure to senior executives, influencing critical product and business decisions. The successful candidate will join a high-caliber Strategy & Operations team that values structured problem-solving, analytical rigor, clear communication, and execution. This role offers growth opportunities at the intersection of data/analytics, product strategy & operations, and AI.

Requirements

12+ years in business intelligence, data analytics, strategy & operations, or a related analytical role, ideally in a context where you owned both the data/analytics work and the product/business framing.
Strong technical skills: SQL, Dashboards (Power BI), Excel, Python, Statistics.
Extensive experience designing dimensional models, working with large datasets, and validating data quality.
Experience using AI as a daily force multiplier (LLMs and coding assistants like VSCode + GitHub Copilot + Claude) to accelerate SQL development, rapidly prototype Python scripts for data manipulation, and iterate on analyses faster than traditional methods.
Demonstrated experience building lightweight automations, internal tools, or agentic workflows using AI-assisted development.
Strategic and operational judgment: Ability to connect data to business/product context, frame the right questions, and deliver recommendations.
Executive communications: Ability to communicate findings to senior leaders, product managers, and engineers, adjusting depth and framing for the audience.
Experience supporting executive reviews (VP+) including translating complex analysis into clear narratives, from initial hypothesis through structured storyline to actionable recommendations.
Self-directed: Able to manage multiple workstreams and ad-hoc requests and proactively identify new opportunities/problems to be prioritized.
Bachelor’s degree in a quantitative or technical field (e.g., Computer Science, Data Science, Engineering, Statistics, Mathematics, Economics, Information Systems) or equivalent professional experience.
Experience in enterprise IT infrastructure (storage in particular) or hardware product organizations.

Responsibilities

Deliver business intelligence with strategic context.
Deliver Executive Monthly Business Reviews for Enterprise Storage, presented to C-Staff.
Build and maintain dashboards that give leadership real-time visibility into business performance, designed around the questions Product needs to answer.
Design custom metrics views tied to active strategic initiatives.
Apply analytics to strategy and operations problems.
Frame and answer the big questions with a hypothesis-driven approach, including market sizing, wallet share estimation, competitive benchmarking, and industry vertical opportunity assessments.
Diagnose business performance, including AOP attainment drivers, bookings linearity, pricing trends ($/GB), and margin analysis.
Inform investment and positioning decisions for the product portfolio, such as product mix shifts and platform transitions.
Synthesize findings into clear, opinionated recommendations that leadership can use for decision-making and action.
Work day-to-day with Product Management, Engineering, Finance, Pricing, etc., on the highest-impact opportunities/problems for the Enterprise Storage organization.
Contribute to Board-level strategy materials, C-Staff executive reviews, and lead Enterprise Storage leadership discussions.
Understand the strategy, industry trends, competitive landscape, and business/product context to drive the proactive data/analytics roadmap.
Design and maintain custom data models in Snowflake tailored to Enterprise Storage product use cases.
Own data quality, including identifying gaps, reconciling discrepancies, and establishing trusted datasets for leadership reliance.