As Graduate Process Improvement Data Analyst, you will be working within HP’s Industrial Print Customer Success organization and be part of the EMEA HP Indigo Continuous Improvement team.As we continue to develop the organization, we recognize the importance of optimizing our processes to maintain efficiency.

You will play a crucial role in this effort by proactively analyzing our current processes, identifying areas for improvement, and implementing solutions to drive organizational effectiveness.

Job Responsibilities

• Proactively analyse existing processes to identify gaps, inefficiencies, and opportunities for improvement.
• Support process improvement initiatives across departments to enhance efficiency and effectiveness.
• Maintain and improve existing tools to strengthen business performance.
• Develop and implement solutions to address identified issues, utilizing best practices and innovative approaches.
• Follow key performance indicators (KPIs) to measure the success of process improvement initiatives.
• Collaborate with stakeholders to gather requirements and understand business needs.
• Support cross-functional teams to execute process improvement projects, ensuring timely delivery and alignment with organizational goals.
• Provide regular updates and reports on the status of process improvement projects to senior management.
  
  

Key Deliverables/Accountabilities

• Implementation of streamlined processes resulting in measurable improvements in efficiency and cost savings.
• Reduction of waste and duplication through the identification and elimination of non-value-added activities.
• Improvement in key performance indicators related to process efficiency and effectiveness.
  
  

Working Relationships

• Collaborate closely with department heads, team leaders, and subject matter experts to understand processes and gather input for improvement initiatives.
• Report to management on project progress, risks, and opportunities.
• Work with cross-functional teams to implement process improvement initiatives and ensure alignment with organizational objectives.
• Align with Central operations team to ensure perfect synchronization on project.
  
  

Background & Knowledge

• Recently graduated with a Degree or Master in Engineering, Statistics, Computer Science, or related field
• Solid foundation in project management, process improvement (Lean, Six Sigma)
• Familiar with BI tools (Power BI, Tableau) and process modeling
• Understanding of change management
  
  

Soft Skills

• Proactive, autonomous, and creative
• Strong analytical, communication, and leadership skills
• Organized, detail-oriented, and results-driven
  
  

Technical Skills

• Proficient in Python, Power Query, VBA
• Skilled in Excel, Power BI, Tableau
• Knowledge of Visio, Miro, and project management tools
  
  

Experience Our Benefits

Being part of HP means access to an international community with lots of growth opportunities within the company, professional development resources, networking opportunities, while enjoying in a great atmosphere making an impact.

• Flexibility to keep a good work life balance.
• Health & Life insurance.
• Lunch at reduced prices at our canteen / ticket restaurant vouchers.
• HP product discounts.
• Flex optimization program: Kindergarten tickets, public transportation tickets.
• Diverse, continued internal growth and career opportunities. Including HP’s own learning platform and LinkedIn Learning.
• Women, Pride, Young employees, Multicultural, Sustainability and DisAbility! Just a few of our fantastic global business networks you can get involved with locally.
• We also dedicate time and resources to contribute with our community through Corporate Volunteering activities, including our onsite HP Charity day.
  
  

Sales & Services Entity (ES11)

As Graduate Process Improvement Data Analyst, you will be working within HP’s Industrial Print Customer Success organization and be part of the EMEA HP Indigo Continuous Improvement team.As we continue to develop the organization, we recognize the importance of optimizing our processes to maintain efficiency.