Sr. Business Intellience Engineer, Profitability Science Profit Intelligence

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

The Profitability Science Team in Profit Intelligence is seeking a Business Intelligence Engineer Lead who can creatively solve complex business problems with data and metrics. Profit Intelligence (PI) provides accurate timely and granular profitability data for Amazon Stores globally enabling automated systems (like APM DSI CIV Pricing) to make over multiple business decisions daily. Our charter is to ensure our products Historical Contribution Profit (HCP) and Forward-Looking CP (FLCP) correctly reflect historical unit level economics and forecasted economics.

In this role you will be responsible for solving complex and ambiguous business questions using data and metric expertise. You will partner closely with Applied Scientists Economists Product Managers to deliver business outcomes. You will influence business-critical questions across multiple organizations and geographies. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives deal with ambiguity and advocate on behalf of the customers.

Key job responsibilities
A successfully candidate will

Be highly data driven resourceful customer-obsessed and team oriented
Be able to manage multiple projects - including planning prioritization and task delegation
Design develop and implement scalable automated processes for data extraction processing and evaluation
Define data driven approaches and metrics strategy to uncover new insights
Have a passion for sourcing manipulating and visualizing data to tell business stories
Be able to clearly communicate strategic findings and recommendations
Translate complex technical concepts into business terms and vice versa
Work with technology and data teams to support the development of tools and dashboards

About the team
We are Seattle based and our team culture is based on inclusion innovation and respect.

- 5 years of professional or military experience
- 5 years of processing large multi-dimensional datasets from multiple sources experience
- 1 years of performing statistical analysis experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

- 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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 130400.00 - 176300.00 USD annually


Required Experience:

Senior IC

The Profitability Science Team in Profit Intelligence is seeking a Business Intelligence Engineer Lead who can creatively solve complex business problems with data and metrics. Profit Intelligence (PI) provides accurate timely and granular profitability data for Amazon Stores globally enabling auto...
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Key Skills

  • Business Intelligence
  • Cognos
  • SQL
  • Power BI
  • QlikView
  • Data Visualization
  • ssrs
  • Tableau
  • SSIS
  • Data Modeling
  • Data Warehouse
  • Data Analysis Skills

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