WW Business Intelligence Leader, Worldwide Revenue Operations

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Job summary
Amazon is seeking an experienced Sr. Manager of Business Analysis to lead a team of analysts to drive insights and reporting connected to Amazon Web Services (AWS) Sales. This team will own developing and executing on a roadmap of analytical work to deepen our understanding of the space, and use findings to drive change that will result in better results for AWS and its customers. This team will also own establishing metrics and building new reporting and dashboards to bring visibility to key inputs and outputs to AWS senior leaders and the broader AWS organization.

This is a high profile role and requires an individual with excellent team leadership skills, outstanding business acumen, and the ability to work across various functional teams and internal partner teams. We are looking for a leader who is a self-starter comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.

About Us

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and 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 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
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 professional and enable them to take on more complex tasks in the future.

LOCATION FLEXIBILITY: Position may be located in Seattle or Washington DC / Arlington, VA, Boston, Jersey City, Atlanta, Dallas and/or Denver. Relocation offered from within the US only to these locations.

BASIC QUALIFICATIONS

• Bachelor’s degree in Computer Science, MIS, Mathematics, Economics, Statistics, Finance, related technical field, or equivalent work experience
• 8+ years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field
• 5+ years of experience managing high performing teams in the data and analytics function
• Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets
• Experience with large-scale data warehousing and BI solutions, including using AWS technologies – Redshift, S3, Spectrum, EC2, Data Pipeline and other big data technologies
• Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, marketing, finance, and operations
• Both technically deep and business savvy enough to interface with all levels and disciplines within the organization

PREFERRED QUALIFICATIONS

• Graduate degree in computer science, business, mathematics, statistics, economics, or other quantitative field
• Knowledge of Advanced SQL and a programming language (Python, R, or others)
• Experience with data visualization using Tableau or similar tools
• Experience with statistical analysis using R/SAS/Matlab or similar tools