Business Intelligence Engineer, Amazon Ads - Product & Tech
Amazon.com
Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. The Advertising team seeks the world's brightest to lead next-generation solutions that enable advertisers to reach customers across our owned and operated sites, on other high-quality publisher sites, and on millions of desktops, mobile, and connected TV devices. We start with the customer and work backwards in everything we do, including Advertising.
We are seeking candidates who are interested in building large-scale systems that integrate across multiple sources. These products provide sales enablement to the sales team and drive business growth.
As a Business Intelligence Engineer, you will mine large amounts of data, build metrics, and drive customer adoption. You will work closely with customers, product managers, and engineers to drive automated analytics, reporting, and decision making. If you love working with big data and delivering the insights you discover through business intelligence reporting, then this is the job for you.
What does it take to succeed in this role? Excited by the scale at which we work. A roll-up-your- sleeves attitude. You should be a self-starter who loves working with Business Intelligence tools and thrives on dealing with the intricate complexity of large data sets. You are analytical and creative and you don’t quit.
Key job responsibilities
- Analyze data to find actionable insights that lead to business insights and opportunities.
- Build dashboards and custom reports to track performance and investigate key business questions.
- Engage with diversified customer groups to understand their needs and deliver business intelligence solutions.
- Partner with Data engineers to define the data elements that the team should leverage to enable capabilities.
- Recommend new metrics, techniques and strategies to improve the operational and quality metrics.
- Recognize and adopt best practices in reporting and analysis: data integrity, validation, and documentation.
A day in the life
• Work with the customer to understand their problems and needs.
• Dive deep to find the root cause of the problem
• Collaborate with the tech team and bring the solutions to life.
• Connect with the customer throughout the product lifecycle and ensure we exceed their expectation.
About the team
Highly cross functional team that has product managers, business intelligence and full stack engineers who collectively collaborate to solve the problems faced by customers. We thrive by brainstorming and bouncing off solutions that transform the lives of our customers.
We are seeking candidates who are interested in building large-scale systems that integrate across multiple sources. These products provide sales enablement to the sales team and drive business growth.
As a Business Intelligence Engineer, you will mine large amounts of data, build metrics, and drive customer adoption. You will work closely with customers, product managers, and engineers to drive automated analytics, reporting, and decision making. If you love working with big data and delivering the insights you discover through business intelligence reporting, then this is the job for you.
What does it take to succeed in this role? Excited by the scale at which we work. A roll-up-your- sleeves attitude. You should be a self-starter who loves working with Business Intelligence tools and thrives on dealing with the intricate complexity of large data sets. You are analytical and creative and you don’t quit.
Key job responsibilities
- Analyze data to find actionable insights that lead to business insights and opportunities.
- Build dashboards and custom reports to track performance and investigate key business questions.
- Engage with diversified customer groups to understand their needs and deliver business intelligence solutions.
- Partner with Data engineers to define the data elements that the team should leverage to enable capabilities.
- Recommend new metrics, techniques and strategies to improve the operational and quality metrics.
- Recognize and adopt best practices in reporting and analysis: data integrity, validation, and documentation.
A day in the life
• Work with the customer to understand their problems and needs.
• Dive deep to find the root cause of the problem
• Collaborate with the tech team and bring the solutions to life.
• Connect with the customer throughout the product lifecycle and ensure we exceed their expectation.
About the team
Highly cross functional team that has product managers, business intelligence and full stack engineers who collectively collaborate to solve the problems faced by customers. We thrive by brainstorming and bouncing off solutions that transform the lives of our customers.
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