Our team within AWS is responsible for delivering data center capacity at a global scale. We're looking for an individual to dive deep into our data, refine it and our data processes, identify opportunities and drive alignment between our many global teams.
You'll work with a team of Business Intelligence Engineers, Program Managers, Cost Engineers, Construction Managers and Business leaders across the globe to help us improve the way we build data centers (cost, quality, schedule, resources, etc.).
Key job responsibilities
- Access, clean and maintain data integrity.
- Identify data quality root causes and propose solutions.
- Work across teams to drive data quality improvements.
- Create mechanisms that flag erroneous data or data outliers.
- Meet with key stakeholders to understand root causes of data outliers.
- Utilize data to identify opportunities for our business to improve.
- Propose data-driven solutions/processes that improve Level of Effort (LOE), schedule, cost, visibility, quality, etc.
- Help to create databases with historical data.
- Support program and project team initiatives by analyzing proposals.
- Create and maintain open communication mechanisms to drive visibility of team initiatives.
- Create and maintain reports for key business metrics.
- Assist teams in Lessons Learned and goal setting.
- Lead initiatives to automate data processes that are currently manual.
About the team
*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.
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
*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.
*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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
*Mentorship and 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.
BASIC QUALIFICATIONS
- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- 2+ years working in the commercial construction industry, preferably in data center construction.
PREFERRED QUALIFICATIONS
- Project Management certification
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.