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 decision-driven analytics solution for work that is critical to Amazon’s 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 Amazon’s Delivery Service Partner (DSP) program.
The goal of Amazon’s 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 highly-motivated 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 end-to-end 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 decision-driven 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 Amazon’s 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 end-to-end 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 best-in-class analytics solutions to support our internal and external DSP stakeholders and partners for making data driven decisions org-wide. 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 high-impact 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 (multi-TB) 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 non-technical stakeholders- 8+ years of professional or military experience
- Master's 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 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.
