Hewlett Packard Enterprise izstrādā uzņēmumu tehnoloģijas organizācijām, kas izmanto hibrīdās mākoņvides un mākslīgā intelekta vadītus procesus. Tās produktu klāstā ietilpst HPE ProLiant serveri un HPE Cray augstas veiktspējas skaitļošanas risinājumi, HPE Alletra datu glabāšanas risinājumi, HPE Aruba tīklu risinājumi, mākslīgā intelekta platformas un pilnībā gatavas mākslīgā intelekta rūpnīcas, kā arī GreenLake risinājumi kā pakalpojums. HPE nodrošina arī tādas drošības iespējas kā Zero Trust un SASE, kā arī profesionālos, konsultāciju un atbalsta pakalpojumus, kas palīdz lielām organizācijām modernizēt infrastruktūru, pārvaldīt datu centru vidi un ieviest mākslīgo intelektu plašā mērogā.
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.
Apraksts
- 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.
Prasības
- 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.
Priekšrocības
- 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.