Product Management Business Analyst

Hewlett Packard Enterprise•Bloomington, TX

16h•$101,500 - $191,700•Hybrid

About The Position

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Requirements

Bachelor's degree in Business, Finance, Economics, Engineering, Data Analytics, or a related field.
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.
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.

Nice To Haves

MBA or advanced analytical degree is a plus.

Responsibilities

Develop and maintain product-level financial models including cost structures, pricing, margins, and profitability.
Analyze cost performance across the product lifecycle from concept through launch and sustaining phases.
Identify key cost drivers, risks, and optimization opportunities across the portfolio.
Partner with Engineering, Supply Chain, Operations, and Finance to validate financial assumptions and ensure data accuracy.
Support business cases, investment decisions, and pricing strategies through quantitative analysis.
Monitor and analyze sales pipeline performance, bookings, revenue forecasts, and conversion metrics.
Develop reporting and dashboards that provide visibility into 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.
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.
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.
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.
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.