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, build & own internal products, 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 Front-line sales, 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 personas, as well as across other geographies. This role will focus on developing & delivering seller-facing insights using AWS Services, Tableau Cloud, & Salesforce.
Key job responsibilities
The ideal candidate can:
- Identify key insights from data and deliver actionable recommendations to support strategic objectives.
- Utilize advanced analytical & AI problem-solving skills to address complex business challenges and drive data-driven decision-making.
- Lead product management initiatives, including defining product roadmaps, setting priorities, and managing the product lifecycle.
- Deep dive into data and visualization layer to lead optimization of heavily used Tableau workloads through effective data modeling techniques, Tableau optimization best practices, and innovative techniques suitable for business needs at scale.
- Write and optimize SQL queries to extract, transform, and analyze data, ensuring data integrity and accuracy for reporting and analysis purposes.
- Effectively communicate the value proposition of analytics products to internal and external stakeholders, ensuring alignment with business goals.
- The ability to integrate data from multiple disparate backend data sources
- Gather and articulate customer stories to inform product development and demonstrate value to stakeholders.
- Develop and maintain advanced Tableau dashboards to provide impactful data visualizations and support business intelligence needs.
- Implement iterative deployment strategies and continuous improvement processes to enhance product performance and user satisfaction.
About the team
The Sales Insights, Analytics, Data Engineering & Science (SIADS) team is one of seven functions within the AWS Global Sales Operations organization, and is the single source of truth for all data, insights, dashboards, and KPIs critical to run the business.
SIADS is responsible for five key priorities:
- Modernize core data infrastructure and datasets to support planned business growth.
- Provide the right insights to the right people at the right time, in a secure, scalable manner.
- Simplify navigation to single source of truth insights products that deliver actionable guidance.
- Leverage AI/ML models to pinpoint timely insights and actionable recommendations.
- Build high performing teams by recruiting, hiring, onboarding and developing top-talent to achieve business objectives.
Our vision is “to build a fully autonomous selling system,” allowing us to guide our teams to have the greatest customer impact possible. To support these outcomes, we apply our mental model of “innovation at the edge” and “scaling and operational excellence at the product level”– we want our field teams closest to the customer innovate quickly on new insights, surface these insights and build a scale mechanism to light up insights across the business.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.
About Sales, Marketing and Global Services (SMGS)
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.
GSO2024
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- Strong communication and stakeholder management skills, with the ability to present technical information clearly to non-technical audiences.
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with data modeling, warehousing and building ETL pipelines
- Strong Data Modeling and Tableau skills to deliver scalable and optimized reporting solutions
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.