Description

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 solutions that support and enhance the SMGS analytics teams 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.

• Lead AWS BI Platform migration for SMGS organization

• Operate as BI Platform Community of Practice leader for SMGS

• Foster & develop partnerships with external AWS Partners to co-develop & deliver solutions

• Effectively communicate the value proposition of analytics products to internal and external stakeholders, ensuring alignment with business goals.

• Gather and articulate customer stories to inform product development and demonstrate value to stakeholders.

• 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

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

• 5+ years of experience in analytics, data engineering, machine learning, and business intelligence, with expertise in BI tools and technologies such as Tableau.

• Excellent analytical and problem-solving skills, with the ability to derive insights from complex datasets.

Preferred Qualifications

• Proficient in SQL, Python, or other programming languages for data manipulation and analysis.

• Proficient in Tableau; experienced with Tableau Cloud features

• Experience owning/driving product roadmap strategy and vision

• Experience in influencing senior leadership through data driven insights

• Experience working across functional teams and senior stakeholders

• Strong communication and stakeholder management skills, with the ability to present technical information clearly to non-technical audiences.

• Experienced with end to end product management, feature delivery, & smart tradeoffs

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.