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Sr Business Intelligence Engineer, AWS GDSP A&IAmazon • Austin, Texas, United States
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Sr Business Intelligence Engineer, AWS GDSP A&I

Amazon
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Jetzt Bewerben

Über

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
About the team The Private Pricing team is instrumental in driving deal strategy, structuring, negotiations, and execution of private deals. Private Pricing deals consist of large, strategic, or highly competitive commercial deals.
Basic Qualifications
5+ years of SQL experience
10+ years of professional or military experience
4+ years of SQL, ETL or Oracle experience
4+ years of processing large, multi‑dimensional datasets from multiple sources experience
4+ years of performing statistical analysis experience
1+ year of developing automated reporting 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
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.
The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D 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 .
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
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  • Austin, Texas, United States

Sprachkenntnisse

  • English
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