Description
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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.
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