c, Sales Insights and Analytics

Key Skills

JavaScript, Ruby on Rails, Java Programming, Python Programming, Django, SQL, AWS, PowerBI, Big Data Technology, Machine learning techniques, Amazon RedShift, VBA, AWS Kinesis, Data pipelines, ETL frameworks

Job Description

Job summary
Amazon is seeking a business to drive insights and reporting connected to Amazon Web Services (AWS) Sales. This role will contribute to 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 role will also own 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 critical role for our team and requires outstanding business acumen, and the ability to work across various functional teams and internal partner teams. We are looking for an 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, Dallas, Boston, or Arlington, VA. Relocation offered from within the US only to these locations.

BASIC QUALIFICATIONS

• Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, Finance, or related field
• 5+ years of industry experience in data analysis. Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases
• 3+ years of experience in and manipulating large data sets in a database
• 3+ years of advanced proficiency in (including VBA, Pivot Tables, array functions, Power Pivots, etc)

PREFERRED QUALIFICATIONS

• Advanced proficiency in, ETL, data modeling, and working with “Big Data”
• Computer programming experience in Python
• Experience using AWS analytical services (e.g., Redshift, Data Pipeline, EMR, Machine Learning, Kinesis)
• Experience with web technologies (e.g., Ruby on Rails, Django, JavaScript) and the model-view-controller architectural pattern
• lent problem-solving skills
• Excited to learn new technologies and analytical methodologies relating to business intelligence and data analysis
• Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insights