Senior Business Intelligence Engineer DSP BI
Senior Business Intelligence Engineer DSP BI
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Do you enjoy uncovering actionable insight to improve delivery experience Do you get excited about operating in an ambiguous and fast moving environment Are you looking for an opportunity to work with cross functional teams and build decisiondriven analytics solution for work that is critical to Amazons continued ability to deliver smiles in communities The DSP Analytics Team has an exciting opportunity for a Business Intelligence Engineer (BIE) to make an impact on the Amazons Delivery Service Partner (DSP) program.
The goal of Amazons DSP organization is to exceed the expectations of our customers by ensuring that their orders no matter how large or small are delivered as quickly accurately and cost effectively as possible. To meet this goal Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!
We are looking for an innovative and highlymotivated BIE who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements and global parity to DSP programs Worldwide. You will work closely with engineering teams product managers program managers and org leaders to deliver endtoend data solutions aimed at enhancing overall business health and capacity planning for Worldwide DSP program. In this role you will dive deep into disparate datasets to improve our understanding of various components involved in Last Mile delivery build decisiondriven analytics that systematically track the overall quality of the DSP business and program health improve tooling to scale up capacity planning processes across regions and extract actionable insight to level up plan accuracy and process efficiency.
Key job responsibilities
Build high quality data architecture and ETL data pipelines using SQL Scripting and other ETL tools.
Retrieve and analyze data using a broad set of Amazons data technologies (ex. Redshift AWS S3 Amazon Internal Platforms/Solutions) and resources knowing how when and which to use.
Design build and maintain automated reporting dashboards and ongoing analysis to enable data driven decisions across our team and with partner teams.
Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.
Work closely with business stakeholders and leadership team to define the analytics roadmap and structure of our data solutions
Manage and execute analytics solutions endtoend including project management data gathering and manipulation modeling problem solving and communication of insights and recommendations.
Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs and helping them solve their problems by leveraging technology.
Be connected and influential within the Amazon BI and DE community. Work with data engineering and software development teams to enable the appropriate capture and storage of key data points. Mentor junior BI engineers.
About the team
We are the centralized Amazon DSP Analytics team with the vision to build bestinclass analytics solutions to support our internal and external DSP stakeholders and partners for making data driven decisions orgwide. We believe in promoting and using ideas to disrupt the status quo. In our team you will have the opportunity to dive deep into complex business and data problems drive highimpact and large scale data solutions and raise the bar for engineering and operational excellence. We have exceptionally talented and fun loving team members and we love to share ideas and learnings with each other.
5 years of professional or military experience
5 years of SQL experience
Experience programming to extract transform and clean large (multiTB) data sets
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with AWS technologies
Experience with theory and practice of information retrieval data science machine learning and data mining
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with data visualization using Tableau Quicksight or similar tools
Experience in the data/BI space
Strong verbal and written communication skills including the ability to communicate effectively with both technical and nontechnical stakeholders
8 years of professional or military experience
Masters degree in statistics data science or an equivalent quantitative field
Experience managing analyzing and communicating results to senior leadership
Experience using Cloud Storage and Computing technologies such as AWS Redshift S3 Hadoop etc.
Knowledge of Machine Learning/data science tools and techniques and experience putting data science models into production
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 for more information. If the country/region youre applying in isnt 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 $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
The goal of Amazons DSP organization is to exceed the expectations of our customers by ensuring that their orders no matter how large or small are delivered as quickly accurately and cost effectively as possible. To meet this goal Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!
We are looking for an innovative and highlymotivated BIE who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements and global parity to DSP programs Worldwide. You will work closely with engineering teams product managers program managers and org leaders to deliver endtoend data solutions aimed at enhancing overall business health and capacity planning for Worldwide DSP program. In this role you will dive deep into disparate datasets to improve our understanding of various components involved in Last Mile delivery build decisiondriven analytics that systematically track the overall quality of the DSP business and program health improve tooling to scale up capacity planning processes across regions and extract actionable insight to level up plan accuracy and process efficiency.
Key job responsibilities
Build high quality data architecture and ETL data pipelines using SQL Scripting and other ETL tools.
Retrieve and analyze data using a broad set of Amazons data technologies (ex. Redshift AWS S3 Amazon Internal Platforms/Solutions) and resources knowing how when and which to use.
Design build and maintain automated reporting dashboards and ongoing analysis to enable data driven decisions across our team and with partner teams.
Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.
Work closely with business stakeholders and leadership team to define the analytics roadmap and structure of our data solutions
Manage and execute analytics solutions endtoend including project management data gathering and manipulation modeling problem solving and communication of insights and recommendations.
Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs and helping them solve their problems by leveraging technology.
Be connected and influential within the Amazon BI and DE community. Work with data engineering and software development teams to enable the appropriate capture and storage of key data points. Mentor junior BI engineers.
About the team
We are the centralized Amazon DSP Analytics team with the vision to build bestinclass analytics solutions to support our internal and external DSP stakeholders and partners for making data driven decisions orgwide. We believe in promoting and using ideas to disrupt the status quo. In our team you will have the opportunity to dive deep into complex business and data problems drive highimpact and large scale data solutions and raise the bar for engineering and operational excellence. We have exceptionally talented and fun loving team members and we love to share ideas and learnings with each other.
5 years of professional or military experience
5 years of SQL experience
Experience programming to extract transform and clean large (multiTB) data sets
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with AWS technologies
Experience with theory and practice of information retrieval data science machine learning and data mining
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with data visualization using Tableau Quicksight or similar tools
Experience in the data/BI space
Strong verbal and written communication skills including the ability to communicate effectively with both technical and nontechnical stakeholders
8 years of professional or military experience
Masters degree in statistics data science or an equivalent quantitative field
Experience managing analyzing and communicating results to senior leadership
Experience using Cloud Storage and Computing technologies such as AWS Redshift S3 Hadoop etc.
Knowledge of Machine Learning/data science tools and techniques and experience putting data science models into production
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 for more information. If the country/region youre applying in isnt 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 $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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