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
At Hewlett Packard Enterprise, this hybrid business analyst role supports product decisions across HPC and AI through financial, pipeline, and portfolio analysis. The work includes modeling, dashboards, forecasts, and executive reporting.
Apraksts
- Build and maintain product financial models for costs, pricing, margins, and profitability.
- Assess costs throughout the product lifecycle, identifying drivers, risks, and opportunities to optimize.
- Work with Engineering, Supply Chain, Operations, Finance, Sales Operations, and Business Planning to validate assumptions and keep reporting consistent.
- Use quantitative analysis to inform business cases, investments, and pricing strategies.
- Track sales pipeline results, bookings, revenue forecasts, and conversion rates.
- Create dashboards and reports covering pipeline health, deal progress, forecast accuracy, risks, revenue, margins, costs, and portfolio results.
- Evaluate portfolio performance, attach rates, bundling, pricing, and opportunities to optimize offers.
- Deliver regular and ad hoc performance reports and contribute to monthly, quarterly, and annual business reviews.
- Develop predictive models and scenario analyses for pricing, costs, product mix, and market conditions.
- Contribute to annual operating plans, long-range and portfolio planning, lifecycle decisions, and strategic initiatives.
- Improve data quality, reporting automation, analytical processes, and data governance.
- Define consistent terms, metrics, and reporting frameworks while reducing manual reporting work.
Prasības
- Bachelor’s degree in Business, Finance, Economics, Engineering, Data Analytics, or a related discipline.
- At least seven years of experience in product analytics, financial planning and analysis, business operations, product management support, or similar analytical work.
- 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 tools such as Power BI, Tableau, or similar platforms.
- Experience analyzing large datasets with SQL or equivalent tools.
- Sound knowledge of product cost structures, pricing models, margin analysis, revenue forecasting, and pipeline management.
- Ability to distill complex information into concise executive communications.
- Strong collaboration, communication, and stakeholder management skills.
Priekšrocības
- Comprehensive benefits for physical, financial, and emotional wellbeing.
- Programs for personal and professional development.
- Flexible work arrangements to help balance work and personal needs.
- Reasonable accommodations for applicants with disabilities during the application or interview process.