Data Analytics Manager, SPEAR Operations Support & Services (OS2)

Come help us secure Amazon facilities across the globe! The Amazon Security Special Programs, Evaluations, Assessments, & Response (SPEAR) Operations Support & Services (OS2) team is scaling to support the exponential growth of Amazon facilities and associated security functions. We are looking for a Technical Program Manager (TPM) with experience in data team management, business intelligence, and data analytics to become a key member of the OS2 Team. As a Senior Security TPM, you will be responsible for leading OS2's Data & Analytics (DnA) team, deep-diving into data, translating business problems into requirements for analysis, reporting, creating and maintaining dashboards, and driving data initiatives for various Amazon business lines and accounts (including GovCloud). The person in this role will deliver critical business insights for stakeholders to drive strategies, operational metrics, security solutions, technology implementation, business decisions, improvement processes, and visibility across organizations. The position requires international travel amounting to approximately 20% to ensure the delivery of this team’s mission.

KEY RESPONSIBILITIES:

* Deliver data analysis, visualizations, and reporting to senior leaders and stakeholders.
* Ensure that data remains relevant, actionable, auditable, and available.
* Drive enhancements to data infrastructure, improvements in data processes, and data culture growth across SPEAR.
* Analyze metrics, identify risk, highlight opportunities for investment.

As this role supports the AWS GovCloud region, it will be restricted to Amazon employees who are U.S. Citizens. GovCloud may not be accessed from outside of the United States.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Basic Qualifications

The basic qualifications listed below are representative of the knowledge, skill, and/or ability required to perform this job:

• Proven experience managing projects spanning cross-functional teams, building sustainable processes from ambiguous states, and maintaining complex mechanisms.
• 4+ years experience managing technical/data teams or related experience.
• 4+ years experience in a business analyst/business intelligence/data analyst/data engineer/statistical analyst/technical program manager role or related experience.
• 2+ years experience with the visualization tools Tableau, and AWS QuickSight.
• Proficiency with SQL for analysis and reporting.

Preferred Qualifications

The preferred qualifications listed below are representative of the knowledge, skill, and/or ability not required to perform this job, but which make up an ideal candidate:

• Proficiency in Java (Maxis) and Python.
• Strong oral and written communication skills, as well as ability to analyze quantitatively and problem-solve efficiently.
• Experience in modern data warehousing techniques (dimensional data modeling, ETL management and programming, etc.).
• Experience in data science, mathematical modeling, statistical modeling, or related discipline.
• Experience with AWS Services and products (S3, Redshift, AuroraDB, DynamoDB, Lambda, EC2, etc.).
• Meets/exceeds Amazon’s Leadership Principles requirements for this role.
• Meets/exceeds Amazon’s functional/technical depth and complexity for this role.

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 v