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Senior Sales Specialist, Analytics, US-FSI Technical Sales Specialists

Amazon.com Inc

  • Dallas, TX
  • 30+ days ago

    Highlights

    You will educate customers on "art of the possible" success stories and AWS enablers including Amazon Redshift, a managed petabyte-scale data warehouse for fast SQL analytics; Amazon Athena, for serverless SQL queries directly on S3 data; Amazon EMR, a managed big data platform for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and analytics engine. As part of a single-threaded sales team focusing on Financial Services customers you will be responsible for working with strategic customers and their existing account teams to qualify and pursue sales opportunities for enterprise application workloads and datacenter migration projects.

    Numbers & Facts

    LocationDallas, TX
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    As an Analytics sales specialist in this rapidly expanding field, you"ll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business success. You will work backwards from customer goals and you"ll create strategic plans that align AWS solutions with their desired outcomes. You will educate customers on "art of the possible" success stories and AWS enablers including Amazon Redshift, a managed petabyte-scale data warehouse for fast SQL analytics; Amazon Athena, for serverless SQL queries directly on S3 data; Amazon EMR, a managed big data platform for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and analytics engine. You"ll help customers understand how this analytics foundation enables them to build and deploy AI/ML solutions using Amazon Bedrock, Amazon SageMaker, and other AWS AI services to drive business transformation. Then you will work with a specialized solution architect to craft a solution spanning these solutions as well as selected partner products and manage the sales process including evaluation, pricing, objection handling, navigating competitive pressures, proofs of concept and construction of a supporting business case.

    The ideal candidate combines strategic sales leadership with deep technical and business acumen. You will collaborate across AWS teams, including sales representatives, solutions architects, product managers, professional services, and partners to drive customer success. You should have experience engaging confidently with both C-suite executives and technical stakeholders, demonstrating the ability to translate complex technical solutions into clear business value. Your background should reflect success in building consensus across organizations, developing compelling value propositions, and navigating technical and business challenges. Experience in strategic analysis, enterprise sales, and technical solution development is essential, as you"ll need to understand both the technical architecture and business implications of modern data and AI solutions.

    Key job responsibilities

    • Drive 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, potentially gleaned from earnings reports.
    • 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.

    About the team

    The Amazon Migration Sales team positions AWS as the best place to move customer workloads into the cloud. As part of a single-threaded sales team focusing on Financial Services customers you will be responsible for working with strategic customers and their existing account teams to qualify and pursue sales opportunities for enterprise application workloads and datacenter migration projects. You will engage with our segment sales, solutions architects, partner, and professional services organizations to drive highly complex opportunities to closure. These opportunities will include migrating SQL Server, Exchange, SharePoint, VMware, or SAP applications to the AWS cloud. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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