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You'll build and maintain data pipelines, dashboards, and analytics solutions that drive decisions across Amazon Advertising's finance team, working with product managers, engineers, and data teams. The role requires one year of experience analyzing data with tools like Redshift or Oracle, proficiency in visualization platforms such as Tableau or QuickSight, and scripting skills in Python, Java, or R. Based in New York, the position offers $90,500 to $158,400 annually.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

Unlock the Power of Data to Transform Advertising Insights

We're seeking a brilliant Business Intelligence Engineer to be the analytical powerhouse behind Amazon Advertising's strategic decision-making. In this pivotal role, you'll transform complex data into compelling stories that drive product innovation and business growth.

Key job responsibilities
- Work closely with the Product Managers, Finance, Engineers, and Data Engineers on developing BI/analytics solutions to measure the performance of new and existing solutions and surface new opportunities for improvements.
- Build and analyze key metrics to uncover trends and root causes of issues and own ad-hoc deep dive investigations into existing customer journeys to identify root causes of issues and surface improvement opportunities.
- Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.
- Work with Product Managers, Data Engineers, scientists to develop a mechanism to measure the performance of a new and complex projects that seeks to create a unified and cohesive generative AI solution to enhance customer experience
- Collaborate with other stakeholders to optimize and adopt applications within the AWS ecosystem.
- In this role, the BIE will be responsible for migrating dashboards to new visualization tools, conducting thorough testing, deploying the new tools, and training users on the updated visualization platform.

A day in the life
Your day will be a dynamic blend of data exploration and strategic storytelling. You'll dive deep into massive datasets, uncovering hidden patterns and translating intricate business challenges into clear, actionable insights. From designing sophisticated data pipelines to creating compelling visualizations, you'll be the bridge between raw data and strategic decision-making.

About the team
Our Advertising Finance team is a collaborative powerhouse of innovators. We work closely with product managers, engineers, and leadership to shape the future of digital advertising. Our mission is to generate insights that not only measure performance but fundamentally transform how we understand and optimize advertising ecosystems.

Basic qualifications

- 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Bachelor's degree

Preferred qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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, NY, New York - 90,500.00 - 158,400.00 USD annually
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  • Role Business Intelligence Engineer, Amazon Advertising, Ads Finance
  • Experience 3-4 years
  • Education Bachelor Degree
  • Work type On-site
  • Location United States
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Amazon
Consumer Apps & Media · 500+ Members · Seattle, WA, United States

Amazon operates a broad portfolio spanning online retail, third-party marketplaces, logistics, cloud computing, advertising, devices, entertainment, and subscription services. Its consumer businesses include Amazon stores and Prime, while Amazon Web Services provides cloud infrastructure, databases, analytics, and AI services. The company also develops products such as Alexa and Kindle, produces and distributes media, and runs fulfillment and delivery networks. Amazon serves consumers, sellers, developers, enterprises, creators, and public-sector customers through interconnected commerce and technology platforms.

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Job Overview

Approx. salary range

152K – 310K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 281 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Bachelor Degree
Experience
3-4 years

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