From Amazon's posting. “We” and “our” refer to the employer.
Are you passionate about solving business problems through data driven decision making? We are looking for a Sales Analytics and Insights lead to partner with the AWS Global Sales & Sales Strategy teams to understand customer trends and opportunities, surface insights on the productivity of our sales teams, create metrics to measure success of programs, build automated mechanisms for internal planning and invent new ways of diving deep with data to uncover insights to help us serve our customers in their journey to the cloud.
This role will require you to invent new ways of looking at the many dimensions of our business. This individual will collaborate effectively with internal end-users and cross-functional data teams to solve problems, implement new reporting solutions, and deliver successfully against high standards. A successful individual is a person that has a proven work ethic that drives the desired results. This is a hands-on position - the ideal candidate must be willing to “roll up the sleeves”.
This position will work with several stakeholders supporting the extended AWS Global Sales organization including Business Development, Marketing, Professional Services, Enterprise Support, Training and Certification and the Partner team. The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. This role will focus on developing analytics around WW Mechanisms for Sales, Ops, and Leadership audiences.
Key job responsibilities
Include, but are not limited to:
Support data analytics activities to develop actionable insights on pipeline, usage, and revenue data
Develop new ways to define and measure programs effectiveness and organizational productivity
Define the key sales support systems/processes required to meet the rapid growth of the business and achieve revenue attainment and market development objectives
Develop relationships and processes with sales, support, partner, finance, HR, sales operations, and other stakeholders to identify and address reporting requirements and develop new business insights
Identify data issues, gaps in processes, and drive timely resolution
Support ad hoc analysis & participate on projects as needed
Be an expert in AI & analytics tools required to support the team
About the team
IDEAS — Insights, Data Engineering, Econometrics, Analytics & Science — is the organization within AWS SMGS Ops responsible for turning data into insight for the AWS Sales and Marketing business. The team builds and operates the data infrastructure, analytics, and data science capabilities that help leaders across AWS understand their business, make better decisions, and serve customers more effectively at global scale.
We build with both native AWS technology — including state-of-the-art Generative AI — and industry-standard products, pairing the best of each to move faster, work smarter, and continually raise the bar on what our data and insights can do.
It is a collaborative, intellectually curious, and fast-moving group that partners closely with stakeholders across the company. As Analytics & Insights Lead you will be a trusted member of this team — helping leaders drive performance and improve rhythm of business by supporting WW mechanisms through actionable insights. Experience in working with high volume and velocity of data in partnership with engineering, data science and business stakeholders will help you partner effectively with the leaders and teams you serve.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Basic Qualifications
5+ years of SQL experience
5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Preferred Qualifications
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Experience with AI/ML technologies
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
