Senior Business Intelligence Engineer, Private Pricing Programs and Experiences

Amazon Inc.

Seattle (WA)

Hybrid

USD 130,000 - 176,000

Full time

22 hours ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Senior Business Intelligence Engineer for Private Pricing Analytics and Insights. Based in Seattle, you will develop analytics, data models, and self-service dashboards to drive Private Pricing decisions.

You will partner with pricing and sales stakeholders to translate business requirements into insights and scalable BI solutions. You will lead discussions, generate actionable intelligence, and automate reporting while collaborating with global teams to

Qualifications

  • Experience with design of experiments and statistical analysis of results.
  • Experience managing, analyzing and communicating results to senior leadership.
  • Experience building data products incrementally and integrating data sets from multiple sources.

Responsibilities

  • Lead business discussions to share insights and enable strategic decision making.
  • Develop analytics and data models to evaluate sales, customers, deals, partners and products.
  • Create dashboards and self-service visualizations for actionable intelligence.
  • Identify and resolve reporting issues with cross-functional teams.
  • Automate reporting processes and standardize metrics tracking.
  • Produce ad-hoc analyses and reports with actionable recommendations.
  • Simplify and standardize operational processes for excellence.
  • Collaborate across geographies and business units to tell the data story.

Skills

Design of experiments
Statistical analysis
Senior leadership communication
Data products development
Data modeling
Dashboards & BI tooling

Education

Bachelor's degree or higher in a quantitative field

Tools

SQL
Python/R
BI tools (e.g., Tableau/QuickSight)

Job description

Senior Business Intelligence Engineer, Private Pricing Programs and Experiences

Job ID: 10560343 | Amazon Web Services, Inc.

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 London, 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. In this role, you will partner with Private Pricing leaders and teams by leveraging your analytical expertise to transform business requirements into actionable solutions. You'll develop a deep understanding of the AWS Private Pricing business to drive insights that are relevant and actionable.

Your responsibilities will include building analytical and forecasting models, creating intuitive self-service dashboards and visualizations, and implementing automation solutions that drive process improvements across the organization.

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 against questions with a high degree of ambiguity.

Key job responsibilities
  • Lead business discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing.
  • Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services.
  • Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.
  • Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues.
  • Manage and develop analytical tools or reports that through the automation existing inspection mechanisms such as business reviews, annual planning, and forecasting processes.
  • Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.
  • Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems.
  • Create new mechanisms and business processes that simplifies, standardizes and enables operational excellence.
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.

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 we strive for flexibility as part of our working 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, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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
  • Experience with theory and practice of design of experiments and statistical analysis of results
Preferred Qualifications
  • Experience managing, analyzing and communicating results to senior leadership
  • Experience building data products incrementally and integrating and managing data sets from multiple sources
  • Experience using data and metrics to drive actionable insights at scale

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 .

  • 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
  • parental leave
  • USA, NY, New York - 143,400.00 - 194,000.00 USD annually
  • USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
Preferred Qualifications
  • Experience managing, analyzing and communicating results to senior leadership
  • Experience building data products incrementally and integrating and managing data sets from multiple sources
  • Experience using data and metrics to drive actionable insights at scale
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Important FAQs for current Government employees

Before proceeding, please review the following FAQs https://amazon.jobs/en/faqs#faqs-for-us-government-employees

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

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