Analytic Seller Brazil

BA/BS degree required. - 7-10 years of business consulting or technology-related sales or business development experience. - Direct field experience working with enterprise accounts. - Experience selling to line-of-business leaders and Technology - Experience selling broad Analytics / AIML capabilities Job summary Amazon Web Services is seeking a passionate enterprise sales representative to deliver value for companies via AWS's analytics solutions. This role will shape the future of our customers' analytics, Artificial Intelligence & Machine Learning, and data strategy in this fast-growing and exciting market. You will work backwards from the customer's business goals to discover, define, and quantify analytics use cases. You will educate customer on "art of the possible" success stories using brainstorming techniques like Data-driven Everything. This role has responsibility for driving AWS enablers including AIML (Sagemaker, Rekognition, Personalize, and others), data warehousing (Amazon Redshift), data lakes (Amazon Lake Formation), BigData processing (Amazon EMR), search (Amazon Managed Elasticsearch), ETL (Amazon Glue), streaming (Amazon Kinesis and Amazon Managed Kafka), visualization and alerting (Amazon Quicksight), and 3rd party subscription data (AWS Data Exchange). Then you will collaborate with specialized solution architect to craft a solution spanning these solutions as well as selected partner products. This job orchestrates the sales process including pricing, objection handling, and closing. Key job responsibilities - Drive analytics revenue and market share in a defined territory. - Meet or exceed annual revenue targets. - Develop and execute against a comprehensive account/territory plan. - Develop working backwards analytics visions including business case and financial justification. - Create & articulate compelling value propositions around AWS analytics services. - Accelerate customer adoption of Amazon analytics services. - Maintain a robust sales pipeline leveraging sales force automation tools and best practices - Work with partners to extend reach & drive adoption. - Develop long-term strategic relationships with key accounts. - Ensure customer satisfaction. - Expect moderate travel. A day in the life You’re surrounded by innovation. You’re empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1". Our team also puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work. - An MBA - A business background in finance, marketing - A technical background in engineering, computer science, or MIS - Proven track record of success driving adoption of disruptive technologies within enterprise accounts. - Extensive customer network. Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we 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 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.