Description
- 2+ 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)
- 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.
USA, NY, New York - 90,500.00 - 158,400.00 USD annually
USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually
Amazon Advertising is the earth’s most customer centric advertising program and is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—leverage Amazon’s 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:
· Day to Day operations reporting.
· Work with teams from across Amazon to improve data quality within their respective products and platforms
· Identify root causes of data issues and develop solutions
· Work with software developers / data engineers to improve data quality on our state-of-the-art platforms
· Report results in a manner which is both statistically rigorous and compellingly relevant.
· Model data and metadata to support ad-hoc and pre-built reporting.
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
· Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
· 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:
· Day to Day operations reporting.
· Work with teams from across Amazon to improve data quality within their respective products and platforms
· Identify root causes of data issues and develop solutions
· Work with software developers / data engineers to improve data quality on our state-of-the-art platforms
· Report results in a manner which is both statistically rigorous and compellingly relevant.
· Model data and metadata to support ad-hoc and pre-built reporting.
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
· Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
· Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
- 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)
- 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
USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually
Amazon Advertising is the earth’s most customer centric advertising program and is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—leverage Amazon’s 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:
· Day to Day operations reporting.
· Work with teams from across Amazon to improve data quality within their respective products and platforms
· Identify root causes of data issues and develop solutions
· Work with software developers / data engineers to improve data quality on our state-of-the-art platforms
· Report results in a manner which is both statistically rigorous and compellingly relevant.
· Model data and metadata to support ad-hoc and pre-built reporting.
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
· Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
· 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:
· Day to Day operations reporting.
· Work with teams from across Amazon to improve data quality within their respective products and platforms
· Identify root causes of data issues and develop solutions
· Work with software developers / data engineers to improve data quality on our state-of-the-art platforms
· Report results in a manner which is both statistically rigorous and compellingly relevant.
· Model data and metadata to support ad-hoc and pre-built reporting.
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
· Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
· Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
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