Activez les alertes d’offres d’emploi par e-mail !

Sales Specialist Analytics, AWS

AWS EMEA SARL (France Branch)

Courbevoie

Sur place

EUR 60 000 - 100 000

Plein temps

Il y a 30+ jours

Mulipliez les invitations à des entretiens

Créez un CV sur mesure et personnalisé en fonction du poste pour multiplier vos chances.

Résumé du poste

Une entreprise innovante recherche un spécialiste des ventes analytiques pour aider les clients à exploiter les technologies émergentes. Dans ce rôle, vous travaillerez avec des équipes pour créer des plans stratégiques alignés sur les solutions AWS, tout en éduquant les clients sur les succès possibles. Vous aurez l'opportunité de collaborer avec des dirigeants et des parties prenantes techniques, en traduisant des solutions complexes en valeur commerciale claire. Rejoignez une équipe dynamique où votre voix compte et où vous serez soutenu dans votre développement professionnel. Ce poste offre un équilibre travail-vie personnelle avec des heures de travail flexibles, favorisant une culture d'inclusion et de mentorat.

Prestations

Horaires de travail flexibles
Mentorat et développement professionnel
Culture d'inclusion
Équilibre travail-vie personnelle

Qualifications

  • 7+ ans d'expérience en vente directe ou développement commercial dans les marchés logiciels.
  • Expérience avec des cadres de partenaires rentables et développement de solutions.

Responsabilités

  • Conduire la croissance des revenus et des parts de marché dans un territoire défini.
  • Développer des relations stratégiques à long terme avec des comptes clés.

Connaissances

Vente stratégique
Analyse stratégique
Développement de solutions techniques
Compétences en communication

Formation

Diplôme en commerce ou technologie

Outils

Outils d'automatisation des ventes
Amazon Redshift
Amazon Athena
AWS Glue
Amazon SageMaker

Description du poste

As an Analytics Sales Specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their technical capabilities and 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. 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.

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.

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".

About the team

Diverse Experiences

Amazon 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.

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, we foster a culture of continuous learning and curiosity. Our employee networks help create an environment where diverse perspectives are valued and contribute to innovation. Through various events and learning experiences, we encourage professional development and collaboration while celebrating what makes each employee unique.

Mentorship and 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.

BASIC QUALIFICATIONS

  • 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience.
  • 5+ years of business development, partner development, sales or alliances management experience.

PREFERRED QUALIFICATIONS

  • 5+ years of building profitable partner ecosystems experience.
  • Experience developing detailed go to market plans.
  • Experience across the Data specialty.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Obtenez votre examen gratuit et confidentiel de votre CV.
ou faites glisser et déposez un fichier PDF, DOC, DOCX, ODT ou PAGES jusqu’à 5 Mo.