Product Management Business Analyst

About the role

The Product Management Analyst provides financial, pipeline, and portfolio analytics that enable data-driven decision making across the HPC & AI portfolio. This role partners closely with Product Management, Finance, Sales Operations, Business Planning, and Supply Chain to establish a consistent view of product performance, revenue opportunities, cost structures, and business trends. The analyst owns the operational cadence, reporting frameworks, and analytical models used to evaluate product profitability, pipeline health, attach rates, and portfolio performance. Through rigorous analysis and actionable insights, this role helps leadership make informed investment, pricing, and lifecycle management decisions.

Responsibilities

• Financial and Cost Analysis: Develop and maintain product-level financial models including cost structures, pricing, margins, and profitability; analyze cost performance across the product lifecycle; identify key cost drivers, risks, and optimization opportunities; partner with Engineering, Supply Chain, Operations, and Finance to validate financial assumptions; support business cases, investment decisions, and pricing strategies through quantitative analysis.
• Revenue and Pipeline Analytics: Monitor and analyze sales pipeline performance, bookings, revenue forecasts, and conversion metrics; develop reporting and dashboards for pipeline health, deal progression, forecast accuracy, and business risks; identify trends and provide actionable recommendations to improve forecasting and business outcomes; collaborate with Sales Operations and Business Planning teams to maintain consistent reporting methodologies and data governance.
• Portfolio Performance and Attach Analytics: Measure and track portfolio performance across products, market segments, and customer solutions; analyze software, services, support, and solution attach rates to identify opportunities for increased revenue and profitability; provide recommendations to Product Management and Sales leadership on bundling, pricing, and offer optimization strategies; evaluate portfolio trends and support strategic planning activities through data-driven insights.
• Business Reporting and Executive Reviews: Lead the preparation of recurring and ad hoc business performance reporting; develop executive dashboards and scorecards covering revenue, margins, costs, pipeline health, and portfolio performance; support monthly, quarterly, and annual business reviews with consistent metrics and clear analytical narratives; establish standardized reporting frameworks and ensure alignment across stakeholders.
• Forecasting and Scenario Planning: Build predictive models to support revenue, margin, and profitability forecasting; conduct scenario analysis to evaluate the impact of pricing adjustments, cost changes, product mix shifts, and market conditions; support portfolio planning and lifecycle decisions through forward-looking business analysis; provide analytical support for annual operating plans, long-term planning, and strategic initiatives.
• Process Excellence and Data Governance: Drive improvements in data quality, reporting automation, and analytical processes; establish standard definitions, metrics, and governance models for financial and pipeline reporting; reduce manual reporting effort through automation and process optimization; serve as a trusted analytical resource across Product Management, Finance, and Operations teams.

Qualifications

• Education: Bachelor's degree in Business, Finance, Economics, Engineering, Data Analytics, or a related field. MBA or advanced analytical degree is a plus.
• Experience: 7+ years of experience in Product Analytics, Financial Planning & Analysis (FP&A), Business Operations, Product Management support, or related analytical roles. Experience in enterprise technology, infrastructure, HPC, AI, cloud, hardware, or software markets preferred. Demonstrated experience translating complex business data into executive-level insights and recommendations.

Skills

• Strong financial modeling, forecasting, and analytical capabilities.
• Advanced proficiency with Excel and business intelligence tools such as Power BI, Tableau, or similar platforms.
• Experience working with large datasets and data analysis tools including SQL or equivalent technologies.
• Strong understanding of product cost structures, pricing models, margin analysis, revenue forecasting, and pipeline management.
• Ability to synthesize complex information into concise executive communications.
• Excellent collaboration, communication, and stakeholder management skills.

Benefits

• Health & Wellbeing: comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
• Personal & Professional Development: investment in career with specific programs to help reach career goals, become a knowledge expert, or apply skills to another division