Business Intelligence & Research role at HPE focused on leveraging advanced analytics for informed decision-making. Manage strategic supply chain models and lead initiatives to enhance operations.
Responsibilities
The Business Intelligence & Research role focuses on leveraging facts, data, and advanced analytics to drive insights, research, strategy, and informed decision‑making.
You will own and manage strategic supply chain models that translate physical and financial flows into end‑to‑end business processes, ensuring seamless integration into the company’s business systems.
You will identify, recommend, and lead the implementation of improvement initiatives, playing a pivotal role in optimizing spares supply chain operations.
Working in close partnership with management and the extended Geo Spares Operations organization, you will proactively identify operational inefficiencies, uncover new business support opportunities, and develop facts‑driven recommendations based on benchmarking, financial performance, statistical analysis, and advanced analytics.
You will act as a project owner and coordinator for analytics‑driven initiatives — structuring workstreams, managing dependencies, aligning stakeholders, and ensuring delivery of outcomes, not just insights.
You will co‑develop and evolve a data and analytics strategy aligned with business goals, focusing on value creation, automation, and scalability.
Requirements
First‑level university degree or equivalent experience; advanced university degree preferred
Typically 3–6 years of experience in supply chain, business analytics, modelling, project management, or related roles
Strong analytical, problem‑solving, and structured‑thinking skills
Proven project and initiative management capability, including work structuring and stakeholder alignment
Advanced proficiency in MS Excel (formulas, scripts/macros)
Strong experience with PowerPoint, Access, and high‑level modelling tools
Experience with Power BI or similar visualization tools is a strong asset
Practical experience or strong curiosity in AI usage, automation, and agent‑based tools applied to analytics and decision support
Ability to translate complex analysis into clear, executive‑level narratives and recommendations
Strong business acumen with an understanding of supply chain and emerging analytics trends
Material, production, or business planning experience is preferred
Prior management consulting experience is advantageous
Excellent written and verbal communication skills in English and local language.
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