Our mission: To be Earth's most customer-centric company.
The Worldwide Sales Strategy, Operations & Enablement (SSOE) team is building the future of sales. We operate with a startup mentality, build mechanisms that scale, and innovate solutions on behalf of our customers. We are obsessed with delivering results for customers and supporting sales organizations, from Sales Leaders to Solutions Architects and everything in between, to shape the direction of the business. We are a diverse, innovative team that loves translating data, insights, and anecdotes into action.
The AWS Worldwide Sales Insights, Analytics and Data Science team is seeking a Sales Insights and Analytics Lead with strong data extraction skills (advanced SQL), strong business acumen, ability to communicate effectively across multiple technical and non-technical business units and geographies, and a deep analytical background to help in assessing business performance, developing insights (building dashboards end-to-end), creating efficiencies, and delivering results to the AWS Worldwide SSOE team as it continues to scale. We leverage large data sets (millions-to-billions of records) to surface insights on the productivity for our Sales, Technical Sales, and Sales Operations teams. Our goal is to create metrics and measure success of programs, build automated mechanisms for internal planning, and invent new ways of diving deep with data to drive specific business outcomes that will help us serve our customers in their journey to the cloud. The ideal candidate will be a highly motivated individual that seeks to “tell the story” of the data with little direction or supervision.
Business Operations Analytics: Help us democratize the analytics and insights associated with running a multi-billion-dollar business through data visualization best practices and going deep on key operational challenges.
Key job responsibilities
CORE RESPONSIBILITIES AND CAPABILITIES:
• Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency.
• Rollup your sleeve and get directly into the data with SQL, python or R, and AWS native tools to build for scale and conduct analysis we push to “build once, use many” at the data layer.
• Build, deliver, and sustain your data visualization products; you must be able to deliver analytics and insights to your end user that provides the right data, at the right time, in the right format to power decision making across the business.
• Collaborate with Data Engineering, Data Science, Analytics teams, and business teams such as Strategic Planning, Business Operations, Customer Optimization, Productivity, Finance, and Human Resources.
• Up to 10% travel.
About the team
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.
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.
5+ years of experience in an analytics or product role
5+ years of experience extracting and manipulating millions-to-billions of records with SQL
5+ years of experience with data visualization tools such as Tableau, Power BI, Qlik, or QuickSight
5+ years of experience developing business analytics models that support decision making in strategic planning, finance, HR, operations, sales, or similar business functions
Bachelor’s degree in STEM designated degree program or equivalent experience
7+ years of deep experience with SQL, data visualization, and modeling
7+ years of delivering analytics and insight that have directly impacted business decision making
Experience making business recommendations and influencing stakeholders, including leadership; product ownership
Excellent attention to detail and organizational skills
Ability to manage multiple projects and responsibilities
A motivated self-starter who can work independently in a fast paced, ambiguous environment
Ability to quickly adapt to changing priorities and generate innovative solutions in a fast-paced environment
Proven written and verbal communication skills
Challenge the status quo and ask hard questions to ensure investment of time and resources is warranted
Project Management or Tableau Certification (or similar for data visualization tools)
Experience supporting a Technology, SaaS, IaaS, or PaaS sales organization
MBA or Master’s degree in Business, Economics, Analytics, Statistics or Mathematics
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.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.