Business Data Analyst - Product Marketing
Listed on 2026-08-11
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IT/Tech
Data Analyst, Data Warehousing, Data Engineering, Business Intelligence
Own Every Moment at Net App
At Net App, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.
Own Every Moment at Net AppAt Net App, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.
Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, Net App is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.
Job SummaryAt Net App, our Product Marketing (PMM) organization drives the go-to-market strategy and positioning for our world-class data storage and cloud solutions. We are seeking a highly skilled and strategic Business Data Analyst to join our team as a key individual contributor. In this role, you will be the foundational architect of our measurement infrastructure. You will be responsible for building, standardizing, and scaling measurement frameworks and reporting dashboards that support our entire product portfolio.
By weaving together disparate data streams, you will empower our team with reliable and automated access to performance data so Product Marketing Managers have actionable, data-driven insights that inform strategy, optimize campaigns, and drive product growth.
- Build and Maintain Reporting Infrastructure:
Establish the technical source of truth for Product Marketing performance. Build, automate, and maintain scalable, standardized reporting models and dashboards that track the end-to-end lifecycle of our product portfolio. - Cross-Functional Data Integration:
Synthesize complex data from three primary organizational pillars to create a holistic view of product and market performance: - Sales & Marketing Data:
Integrate web analytics, digital campaign performance, and Salesforce (CRM) pipeline metrics to understand top-of-funnel engagement, lead velocity, and marketing ROI. - Finance & ERP Data:
Connect marketing efforts to actual bookings, contract data, and revenue metrics housed within our ERP systems. - Product Telemetry & Usage Data:
Incorporate product adoption, utilization, and telemetry data to understand how customers are actively engaging with our solutions post-sale. - Implement KPI Tracking:
Partner with the Marketing Analytics Manager to technically implement and automate the tracking of Key Performance Indicators (KPIs) within BI dashboards. - Process Optimization and Governance:
Identify gaps in current data collection and reporting processes. Work cross-functionally with IT, Rev Ops, and Data Engineering teams to improve data hygiene, pipeline automation, and accessibility for the PMM org. Ensure data integrity and accuracy in all reporting.
- Experience:
5+ years of experience in Business Intelligence, Marketing Analytics, Revenue Operations, or a similar analytical role (preferably within the B2B Tech/Enterprise Software space). - Technical Proficiency:
- Deep expertise with BI and data visualization platforms (e.g., Tableau, Power BI, Looker).
- Strong SQL skills for data extraction and manipulation.
- Domain Knowledge:
- Hands-on experience working with CRM systems (Salesforce), Marketing Automation platforms (Marketo, Eloqua), and web analytics tools (Google Analytics, Adobe Analytics).
- Familiarity with ERP data structures and financial contract reporting.
- Experience analyzing product telemetry and user-behavior data.
- Strategic Thinker:
Ability to understand the broader go-to-market strategy and translate high-level business questions into technical data requirements. - Communication
Skills:
Excellent verbal and written communication skills, with a proven ability to explain complex technical concepts to non-technical stakeholders.
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