Business Analyst, AI and Automation

Business Analyst, AI and Automation

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

Responsible for planning, scheduling and coordinating demand/supply management, business processes and/or manufacturing/delivery of products and services to the company policy and country regulatory requirements. Partners with stakeholders to identify/implement opportunities for business process improvement to effectively manage costs, integrate new and existing businesses, and adapt to changes in the business and regulatory environment. Time horizon is typically focused on less than six months for forecasting/planning.  Leading and working with cross-functional teams, creates and implements plans that enable the execution of business strategies. Participates in the process by which demand signals are developed, validated for alignment with transition plans, supply constraints identified, and an executable plan defined that meets financial and market share goals. Scope includes business execution processes related to lifecycle planning; order management (including allocation management, Available to Promise (ATP) / commit processes, business attainment tracking); logistics management (including inbound/outbound coordination and consolidation of domestic and international systems to support shipments); and inventory  management (including analysis, optimization and velocity). Partners cross-functionally to develop, track and manage business metrics for the organization (may include customer availability, service levels, on-time delivery, supplier response time (SRTs), supply chain costs and inventory.+

Management Level Definition:

Applies intermediate level of subject matter knowledge to solve a variety of common business issues. Works on problems of moderately complex scope. Acts as an informed team member providing analysis of information and limited project direction input. Exercises independent judgment within defined practices and procedures to determine appropriate action. Follows established guidelines and interprets policies. Evaluates unique circumstances and makes recommendations.

Responsibilities:

• Responsible for supply chain processes, such as inventory analysis, order fulfillment, import/export operations and shipping, for a regional or global business unit.
• Produces reports using IT systems and analyzes data to develop trends for supply and demand activities; articulates findings to management.
• Analysis of backlog management.
• Gathers demand data from country, region, and account managers to contribute to demand planning.
• Collaborates with regional and global business unit planning teams to maintain and enhance current business processes.
• Reviews performance metrics on a regular basis, identifying opportunities for improvement.
• Researches and analyzes priority projects within established guidelines.
• Communicates requirements and guidelines to the regional and global business unit planning teams.
• May provide training or general direction for junior staff members.

Education and Experience Required:

• First-level university degree in Data Science, Industrial Engineering and AI.
• Typically 2–4 years of experience in Data Analytics, Business Intelligence, Data Engineering, or Operations Analytics.
• Strong hands-on experience with SQL is required.
• Experience developing dashboards, reports, and data visualizations using Power BI.
• Hands-on experience with ETL processes, data integration, and data modeling.
• Experience working with enterprise systems such as Salesforce and/or SAP.
• Experience developing and implementing AI agents and process automation solutions using tools such as Microsoft Copilot, Power Automate, or similar AI platforms.
• Experience with SAP Material Management (MM) and Production Planning (PP) modules is a plus.
• Advanced English Level.

Knowledge and Skills:

• Demonstrated understanding of supply chain processes (plan, source, make deliver).
• Strong analytical and data modeling skills.
• Strong interpersonal skills.
• Developed Microsoft Office skills (Excel, PowerPoint, etc.) and other analytical aids to help manage the operation.
• Developing Project Management Skills is nice to have
• Demonstrated business acumen and technical knowledge within area of responsibility.
• Moderate level of knowledge of inventory analysis.
• Demonstrated leadership skills.

Accountability, Accountability, Active Learning, Active Listening, Bias, Coaching, Commercial Acumen, Complex Project Management, Contract Management, Creativity, Critical Thinking, Customer Experience Strategy, Data Science, Design Thinking, Empathy, Engineering Product Development, Financial Acumen, Follow-Through, Global Sourcing, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Manufacturing Supply Chain, Negotiation {+ 4 more}

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#costarica

#operations

Job:

Supply Chain & Operations

Job Level:

Intermediate

    

    

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

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