S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Sr Business Intelligence Engineer, AWS GDSP A&I
XX
Sr. Business Intelligence Engineer, AWS GDSP A&IAmazon • Seattle, Washington, United States
Postuler Maintenant
XX

Sr. Business Intelligence Engineer, AWS GDSP A&I

Amazon
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Postuler Maintenant

À propos

Description Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal? The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in North America, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. As a member of this team, you will harness your skills to understand business requirements, create performance metrics, conduct data analysis, provide insights, recommend actions, build analytical models for hypothesis testing, create forecasting models, build self‑service dashboards and visualization, drive automation and process improvements, to help the Private Pricing leaders and teams to achieve their goals. The individual must have the ability to communicate effectively across multiple technical and non‑technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards. The ideal candidate will be a highly motivated individual that seeks to “tell the story” of the data with little direction or supervision. Key Job Responsibilities Lead sales executive discussions to share insights, challenge status quo, and provide forward‑looking recommendations that enable strategic decision‑making and accelerate Private Pricing growth Design and maintain continuously‑evolving business analytics frameworks and data models; own quantitative analysis of sales team performance, customer behavior, deal dynamics, partner ecosystems, market trends, and product effectiveness Develop deep expertise in sales metrics, reporting tools, and data architectures to proactively identify and resolve data quality issues, deliver actionable intelligence, and design new metrics, dashboards, and analytical tools Build collaborative relationships with sales, finance, sales operations, and cross‑functional teams to identify reporting gaps and implement solutions Design and deploy automated analytical tools and reports that streamline business reviews, annual planning, and forecasting processes Create operational templates and standardized processes that consolidate disparate data sources into unified reporting frameworks and consistent metrics tracking Execute complex ad‑hoc analyses by extracting and synthesizing data from multiple management systems, delivering timely recommendations with measurable business impact Architect new mechanisms and business processes that simplify operations, standardize workflows, and drive operational excellence across the organization Basic Qualifications 10+ years of professional or military experience 5+ years of SQL experience Experience programming to extract, transform and clean large (multi‑TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining Preferred Qualifications Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing and communicating results to senior leadership Employer Information Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&DD insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. Compensation USA, MA, Boston – 130,400.00 – 176,300.00 USD annually USA, NY, New York – 143,400.00 – 194,000.00 USD annually USA, TX, Austin – 130,400.00 – 176,300.00 USD annually USA, WA, Seattle – 130,400.00 – 176,300.00 USD annually Company – Amazon Web Services, Inc. Job ID: A10376640
#J-18808-Ljbffr
  • Seattle, Washington, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.