Capacity Planning Manager, CDP EMEA

Amazon; Pisa; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading technology company is seeking a BI-focused capacity planning leader in Pisa, Italy. The role involves managing data center capacity planning and delivering high-quality processes in collaboration with cross-functional teams. Candidates should have over 4 years of experience in data analysis or capacity planning, proficiency in SQL and data visualization tools like QuickSight and Tableau, and strong analytical skills. A supportive work culture that values diversity and work-life balance is emphasized.

Servizi

Mentorship and career growth resources

Flexible working culture

Inclusive team culture

Competenze

• 4+ years in data analysis, BI, or capacity planning roles.
• Proficiency in SQL, QuickSight, Tableau.
• Experience with large-scale infrastructure or critical environment planning.
• Strong analytical skills to translate complex data into actionable insights.

Mansioni

• Take large, complex projects and break them down into manageable pieces.
• Communicate goals, roles, responsibilities, and desired outcomes to teams.
• Responsible for end-to-end program delivery of process improvement.
• Support continuous process improvement and ensure efficiency.

Conoscenze

Data analysis

Business Intelligence (BI)

Capacity planning

SQL

QuickSight

Tableau

Data visualization best practices

Analytical skills

Strumenti

QuickSight

Tableau

Descrizione del lavoro

Job ID: 3139553 | Amazon Data Services UK Limited - E17

The AWS Infrastructure organization is looking for a results-oriented, BI focused, capacity planning leader. Based in our Dublin offices, data center capacity planning owns the supply plan for data center power and space in response to the customer forecasts. We own initiatives to model and improve the utilization of our power, cooling and space infrastructure in our data centers so that we are generating capacity at the lowest possible cost and delivering for customers.

In this role you will work closely with demand planning, finance, construction, and software development and global program management teams to deliver high quality and robust capacity planning processes and strategies, with favorable business outcomes. You will identify defects or waste in our planning processes, and drive new processes and automation steps to eliminate the defects and prevent them from recurring without posing risk to availability.

Responsibilities

• Take large, complex projects and break them down into manageable pieces.
• Clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross‑functional and remote teams.
• Be responsible for end‑to‑end program delivery of process improvement projects and data modelling exercises.
• Support continuous process improvement through leading workflow updates, documenting & implementing lessons learned and sharing knowledge across delivery teams to ensure EMEA‑wide efficiency improvements.
• Regularly report to senior leadership on status of key project metrics vs. commitment of your projects.

Key job responsibilities

• Design and maintain BI dashboards for data center capacity planning and utilization.
• Develop predictive models for power, cooling, and space requirements using QuickSight/Tableau.
• Create automated reporting systems for capacity vs. demand analysis.
• Lead cross‑functional data initiatives spanning infrastructure planning and business intelligence.

About the team

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge‑sharing, mentorship, and other career‑advancing resources here to help you develop into a better‑rounded professional.

Work/Life Balance

We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

• 4+ years in data analysis, BI, or capacity planning roles.
• Proficiency in SQL, QuickSight, Tableau, and data visualization best practices.
• Experience with large‑scale infrastructure or critical environment planning.
• Strong analytical skills with ability to translate complex data into actionable insights.

Preferred Qualifications

• Data center or cloud infrastructure experience.
• Advanced analytics or machine learning capabilities.
• Experience building executive‑level reporting and dashboards.
• Background in both technical infrastructure and business intelligence domains.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.