Senior Analytics Sales Specialist
Amazon
Senior Analytics Sales Specialist
Amazon
Sells products online and rents cloud computing
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Analytics and AI/ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Do you want to join one of the fastest-growing organizations within Amazon Web Services (AWS)? Join the field Analytics team as a Specialist Seller.
As a Specialist Seller, you will be an owner of AWS service(s) and drive business revenue by identifying customer needs and matching them to AWS solutions. You will be empowered to pursue, create, and develop opportunities for their service by engaging with prospective and existing AWS customers. You will identify high-value customer opportunities within specific accounts and you will engage with the customer, partner(s), and account team to help customers succeed by choosing AWS services and accelerate service adoption. You will own the full-cycle sales engagement plan with prospective customers, be a trusted customer advisor to help close deals, and ensure customer retention. You will respond to qualified lead opportunities generated via field engagement activities. Also, you will maintain an operating knowledge of the AWS service catalog aligned to your domain specialty, new service development or service changes, and relevant cross-functional areas to build strong relationships with AWS customers.
Key job responsibilities
The Analytics Specialist team are a team of sellers possessing deep domain expertise in analytics and AI/ML, to support our customers’ transformations to be data-driven using AWS native managed services. The Analytics Specialist team is responsible for the entire native Analytics portfolio, from ingest, BI to driving Analytics AI through Modernization. Analytics Specialist Seller also take responsibility for driving Analytics workloads consumption and create foundation for AI/ML adoption including Bedrock, SageMaker, Comprehend, Textract, Kendra, and Personalize. This role is to cover our most strategic enterprise and Public sector customers across the territories assigned in MENAT.
Will include close to 50% travel within and outside country.
- 8+ years in technical field sales and business development in the cloud computing industry
- 7+ years of Analytics, BI and/or Artificial Intelligence/Machine Learning sales experience
- 7+ years as lead Account Manager responsible for cross-functional products (i.e. Salesforce, Databricks, Fabrics, SAP)
- Bachelor's degree or equivalent
- Demonstrated ability to identify, develop, and sustain complex customer relationships throughout the sales cycle
- Experience managing complex customer portfolios that generate a significant amount of revenue
- Proven ability to lead with a high degree of proficiency in the negotiation of legal agreements and contract terms with external skateholders
- Ability to operate with significant autonomy and discretion while developing and implementing scalable solutions for highly complex problems
- Excellent written and verbal communication skills that earn the trust of and influences VP-level customers and internal customers
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.
Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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