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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Academy - GTM Business Analyst & Business Intelligence - **Company:** NetApp, Inc. - **Location:** Morrisville, NC, United States - **Salary:** $113,050.0 - $168,300.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Adaptable Database Systems, Artificial Intelligence, Business Analytics Applications, Data Analysis, Software as a Service, Cloud Computing, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Presentation, Data Systems, Data Visualization, Data Warehousing, Cursor (Graphical User Interface Elements), R (Programming Language), Python (Programming Language), Power BI, Cloud Services, Salesforce.Com, Sql Optimization, Prompt Engineering, Information Technology, Data Analytics, Performance Monitor - **Published:** July 10, 2026 - **Apply:** https://jobs.netapp.com/talentcommunity/apply/1407202500/?locale=en_US ## About the Role 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, * 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 ## Description The Academy -GTM Business Analyst & Business Intelligence role 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., 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - 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