Hewlett Packard Enterprise kuria įmonių technologijas organizacijoms, naudojančioms hibridinį debesį ir dirbtiniu intelektu grindžiamas operacijas. Jos produktų portfelį sudaro HPE ProLiant serveriai ir HPE Cray didelio našumo skaičiavimo sprendimai, HPE Alletra duomenų saugyklos, HPE Aruba tinklo sprendimai, dirbtinio intelekto platformos ir visiškai paruoštos dirbtinio intelekto gamyklos, taip pat „GreenLake“ sprendimai kaip paslauga. HPE taip pat teikia saugumo funkcijas, tokias kaip „Zero Trust“ ir SASE, bei profesionalias, konsultavimo ir palaikymo paslaugas, padedančias didelėms organizacijoms modernizuoti infrastruktūrą, valdyti duomenų centrų aplinkas ir plačiu mastu diegti dirbtinį intelektą.
Senior Product Management Business Analyst, HPE
At Hewlett Packard Enterprise, analyze product finances, sales pipelines, and portfolio performance across HPC and AI. Support forecasting, pricing, profitability, and executive decisions.
Aprašymas
- Build product financial models for costs, pricing, margins, and profitability.
- Track cost performance across each product’s lifecycle.
- Surface cost drivers, risks, and ways to optimize the portfolio.
- Verify financial assumptions and data with Engineering, Supply Chain, Operations, and Finance.
- Use quantitative analysis to inform business cases, investments, and pricing strategies.
- Track pipeline results, bookings, revenue forecasts, and conversion rates.
- Create reports and dashboards showing pipeline health, deal progress, forecast accuracy, and business risks.
- Spot trends and propose improvements to forecasts and business results.
- Assess performance across products, market segments, and customer solutions.
- Evaluate attach rates for software, services, support, and solutions.
- Produce regular and ad hoc performance reports, executive dashboards, and scorecards.
- Contribute to monthly, quarterly, and annual business reviews.
- Model and analyze scenarios for revenue, margins, profitability, pricing, costs, product mix, and market conditions.
- Contribute to annual operating plans, long-range planning, and strategic initiatives.
- Strengthen data quality, reporting automation, analytical workflows, and data governance.
- Define reporting standards, metrics, and governance models.
- Automate reporting and streamline processes to reduce manual work.
- Provide analytical support across Product Management, Finance, and Operations.
Reikalavimai
- Bachelor’s degree in Business, Finance, Economics, Engineering, Data Analytics, or a related discipline.
- At least seven years of experience in product analytics, FP&A, business operations, product management support, or a related analytical role.
- Experience in enterprise technology, infrastructure, HPC, AI, cloud, hardware, or software markets is preferred.
- Ability to turn complex business data into insights and recommendations for executives.
- Strong financial modeling, forecasting, and analytical skills.
- Advanced Excel skills and proficiency with business intelligence platforms such as Power BI, Tableau, or similar tools.
- Experience analyzing large datasets with SQL or equivalent tools.
- Solid understanding of product cost structures, pricing models, margin analysis, revenue forecasting, and pipeline management.
- Ability to distill complex information into concise communications for executives.
- Strong collaboration, communication, and stakeholder management skills.
Privalumai
- Benefits designed to support physical, financial, and emotional wellbeing.
- Programs for personal and professional development.
- Flexible work options and support for managing personal needs.
- An inclusive workplace.
- Reasonable accommodations during the application or interview process.
- Benefits information is provided for US employees.