Job Summary
The Academy - GTM Business Analyst & Business Intelligence r ole sits at the center of our Cloud Customer Success data transformation. You will work directly with the Director of Strategy & Operations to architect and operationalize the GTM Data Engine, a connected intelligence system that links the full customer lifecycle across all Cloud products, enabling CS leaders and field teams to make faster, more confident, data-driven decisions. This is a builder role. You will be responsible for designing the data foundation, surfacing actionable insights, and embedding AI-powered systems that scale customer success strategy, operational planning, and performance management across the entire organization.
Responsibilities
Data Engine Architecture & Foundation
Partner with the Director of Strategy & Operations to define the end-to-end architecture of the GTM Data Engine
Connect sales, CS, RevOps, and product usage data across Cloud product offerings
Design and maintain scalable data models, taxonomies, and pipelines supporting customer health scoring, risk analysis, migration tracking, and KPI metrics
Establish a single source of truth for CS performance data to eliminate fragmented reporting across tools and teams
Lead data governance practices including definitions, lineage, quality standards, and access controls
Business Intelligence & Reporting
Build and own executive-ready dashboards (MBRs, QBRs, board-level views) using tools like Power BI and Salesforce reports
Develop self-serve reporting frameworks to enable leaders to access insights independently from the data team
Translate complex datasets into clear narratives by visualizing trends, identifying anomalies, and linking metrics to strategic outcomes
Own KPI tracking for customer success performance indicators including CSAT, migration velocity, time-to-value, digital engagement, and 1:many coverage ratios (team productivity)
AI-Powered Systems & Automation
Leverage AI tools such as Copilot, Gemini, NotebookLM, and Cursor to accelerate data analysis, insight generation, and documentation workflows
Build AI-assisted playbooks, scoring models, and alert systems to proactively identify at-risk accounts, expansion signals, and migration blockers
Design and implement prompt engineering frameworks for repeatable, AI-augmented analytics workflows
Partner with CS leadership to identify automation opportunities in operational processes and integrate AI into MBR/QBR preparation cycles
Strategic Analysis & Operational Planning
Conduct deep-dive analyses supporting FY planning cycles, headcount modeling, coverage model design, and GTM segmentation decisions
Support in preparing executive presentations, strategy decks, and cross-functional deliverables by translating data into executive-ready storylines
Monitor leading indicators and provide forward-looking analysis to enable proactive CS operations rather than reactive reporting
Serve as the intelligence layer for cross-functional partners including Sales, RevOps, BA/BI, Product, and IT
Cross-Functional Collaboration & Stakeholder Enablement
Act as the embedded data partner for CS leaders across all BUs
Understand their business context and translate operational questions into analytical solutions
Collaborate with RevOps and BA/BI teams on data infrastructure alignment, architecture decisions, and tool integrations
Facilitate working sessions to define business requirements, validate metric definitions, and align stakeholders on data standards
Mentor CS team members on data literacy, self-serve tooling, and evidence-based decision making
SKILLS & QUALIFICATIONS
Advanced SQL, BI, and data visualization expertise
Experience with data warehouses, ETL tools, and Salesforce ecosystems
Proficiency in Python/R, Excel, and AI-enabled analytics
Ability to build dashboards, automate insights, and drive self-service reporting
Strong executive communication and data storytelling skills through presentations and strategic recommendations
Education
Demonstrated experience building analytics products or data systems from the ground up (not just maintaining existing infrastructure)
Experience working directly with senior leadership and presenting data-driven recommendations
Prior exposure to Customer Success or post-sale functions is strongly preferred; understanding of SaaS customer lifecycle and renewal economics is a plus
Bachelor's degree in Business, Economics, Statistics, Computer Science, or a related quantitative field; MBA or advanced degree a plus
Compensation:
The target salary range for this position is 113,050 - 168,300 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.
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We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
