Business Intelligence and Research

Hewlett Packard Enterprise

Business Intelligence & Research role focusing on leveraging data for informed decision-making at HPE. Managing analytics-driven initiatives and enhancing strategic supply chain processes.

Posted 7/7/2026full-timeSofia • 🇧🇬 BulgariaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in supply chain management, business analytics, and project management, with a strong focus on leveraging AI-enabled analytics and automation to drive operational improvements and strategic decision-making.

Highest-signal resume keywords

Supply Chain ManagementBusiness AnalyticsProject ManagementAI-Enabled AnalyticsData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytical SkillsProblem-SolvingStructured ThinkingAdvanced MS ExcelPowerPoint ProficiencyAccess ProficiencyHigh-Level Modelling ToolsPower BIData Quality ManagementForecasting

Soft Skills

Communication SkillsBusiness Acumen

Tools & Technologies

AI Agent-Based ToolsAutomation ToolsData Analytics Tools

Industry Keywords

Supply ChainOperational InefficienciesBusiness Support OpportunitiesMaterial PlanningProduction PlanningManagement Consulting

About the role

Key responsibilities & impact

Own and manage strategic supply chain models that translate physical and financial flows into end‑to‑end business processes
Identify, recommend, and lead the implementation of improvement initiatives
Proactively identify operational inefficiencies, uncover new business support opportunities, and develop facts‑driven recommendations
Act as a project owner and coordinator for analytics‑driven initiatives — structuring workstreams, managing dependencies, and ensuring delivery of outcomes
Co‑develop and evolve a data and analytics strategy aligned with business goals
Leverage AI‑enabled analytics, automation, and AI agent‑based tools to accelerate insight generation and forecasting
Ensure data quality, consistency, and availability while collaborating with Global Logistics & Geo Spares Operations teams.

Requirements

What you’ll need

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
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.

Benefits

Comp & perks

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion