Business Intelligence Engineer, Advertising Finance
Amazon
Full-time
On-site
Seattle, Washington, United States
$89,600 - $185,000 USD yearly
Amazon Advertising is the earth鈥檚 most customer centric advertising program and is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions鈥攍everage Amazon鈥檚 innovations and insights to find, attract, and engage intended audiences throughout their daily journeys.
All Amazon teams and businesses, from Prime delivery to AWS, are guided by four key tenets: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. What unites Amazonians across teams and geographies is that we are all striving to delight our customers and make their lives easier. The scope and scale of our mission drives us to seek diverse perspectives, be resourceful, and navigate through ambiguity.
By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.
Amazon Advertising is looking for a Business Intelligence Engineer who can work in a fast paced, data-driven environment. The selected candidate will have a passion for making data driven decisions.
Successful attributes include the ability to be an effective communicator to various audiences, the capacity to remain flexible and adept at learning new tools, and the facility to implement new systems within a team atmosphere. Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical).
As you further your career as a Business Intelligence Engineer in Amazon Advertising, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real world problems and build metrics and business cases to improve decision making. We are focused on your success and want to build strong leaders within Amazon Advertising. You can expect to leverage your analytical skills and have full ownership of the projects you work on.
Responsibilities may include:
路 Day to Day operations reporting.
路 Work with teams from across Amazon to improve data quality within their respective products and platforms
路 Identify root causes of data issues and develop solutions
路 Work with software developers / data engineers to improve data quality on our state-of-the-art platforms
路 Report results in a manner which is both statistically rigorous and compellingly relevant.
路 Model data and metadata to support ad-hoc and pre-built reporting.
路 Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
路 Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
路 Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
路 Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
Key job responsibilities
Responsibilities may include:
路 Day to Day operations reporting.
路 Work with teams from across Amazon to improve data quality within their respective products and platforms
路 Identify root causes of data issues and develop solutions
路 Work with software developers / data engineers to improve data quality on our state-of-the-art platforms
路 Report results in a manner which is both statistically rigorous and compellingly relevant.
路 Model data and metadata to support ad-hoc and pre-built reporting.
路 Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
路 Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
路 Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
路 Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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.
All Amazon teams and businesses, from Prime delivery to AWS, are guided by four key tenets: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. What unites Amazonians across teams and geographies is that we are all striving to delight our customers and make their lives easier. The scope and scale of our mission drives us to seek diverse perspectives, be resourceful, and navigate through ambiguity.
By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.
Amazon Advertising is looking for a Business Intelligence Engineer who can work in a fast paced, data-driven environment. The selected candidate will have a passion for making data driven decisions.
Successful attributes include the ability to be an effective communicator to various audiences, the capacity to remain flexible and adept at learning new tools, and the facility to implement new systems within a team atmosphere. Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical).
As you further your career as a Business Intelligence Engineer in Amazon Advertising, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real world problems and build metrics and business cases to improve decision making. We are focused on your success and want to build strong leaders within Amazon Advertising. You can expect to leverage your analytical skills and have full ownership of the projects you work on.
Responsibilities may include:
路 Day to Day operations reporting.
路 Work with teams from across Amazon to improve data quality within their respective products and platforms
路 Identify root causes of data issues and develop solutions
路 Work with software developers / data engineers to improve data quality on our state-of-the-art platforms
路 Report results in a manner which is both statistically rigorous and compellingly relevant.
路 Model data and metadata to support ad-hoc and pre-built reporting.
路 Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
路 Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
路 Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
路 Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
Key job responsibilities
Responsibilities may include:
路 Day to Day operations reporting.
路 Work with teams from across Amazon to improve data quality within their respective products and platforms
路 Identify root causes of data issues and develop solutions
路 Work with software developers / data engineers to improve data quality on our state-of-the-art platforms
路 Report results in a manner which is both statistically rigorous and compellingly relevant.
路 Model data and metadata to support ad-hoc and pre-built reporting.
路 Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
路 Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
路 Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
路 Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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.