Analytics and Insights Lead, Worldwide Commercial Sales Insights, Analytics, and Data Science

Seattle, Washington, USA

Full Time USD 85K - 150K logo

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Job summary
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.

Preference for this position to be in one of the following locations: Houston, TX USA - Austin, TX USA - San Jose, CA USA - Palo Alto, CA USA - San Francisco, CA USA - Denver, CO USA -Seattle, WA USA. Relocation assistance is available within the United States.

· Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency
· Design for scale (building blocks versus custom), integrate with other products, and ensure successful launch, sustainment, and continuous improvement
· Help define and prioritize insights and analytics projects for execution
· Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements
· Collaborate with Business Intelligence, Data Engineering, Sales Operations and Finance business partners to build scalable solutions on behalf of your customers
· Up to 10% travel

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.

Key job responsibilities
Build and own analytics & insights products that support AWS's worldwide sales organization - we go beyond reporting to deliver meaning insights via data visualization and impactful storytelling.

A day in the life
Envision the next 360 data product
Build & scale Tableau dashboards
Access millions - to - billions of data points via SQL
Use your R or Python skills to go deep
Invent and simplify!

Basic Qualifications

· 3+ years of experience in a Sales Analyst or Data Analyst role
· 3+ years of experience extracting and manipulating larger datasets with SQL
· 3+ years of experience with data visualization tools such as Tableau, Power BI, Qlik, or QuickSight
· Experience developing business analytics models
· Bachelor's degree in STEM designated degree program or equivalent experience

Preferred Qualifications

· 5+ years of relevant experience with SQL, data visualization, and modeling
· 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
· Demonstrated ability to frame complex analytical problems, pull data, and extract insights that led to tangible business results
· Excellent interpersonal skills and ability to effectively communicate technical information to internal and external customers or vendors
· Proven written and verbal communication skills
· Willingness to roll up your sleeves and do whatever is necessary to meet goals and deadlines
· 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

The base pay range for this position in Colorado is $85,800 - 150,100/ yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.
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, visit .

P ursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

Job region(s): North America
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