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DescriptionWe are looking for an innovative, highly-motivated and experienced Business Intelligence Engineer 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 to Last Mile programs. You will work closely with engineering teams, product managers, program managers, business development manager and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall business of Last Mile engineering. 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 Last mile business and program health, improve tooling to reduce cognitive load for data consumers, and extract actionable insights to drive program, product. You will work on exciting Simulations to optimize Last mile delivery.The Benchmarking program within Design team is focused on measuring and continuously improving the performance of Amazon’s Last Mile delivery station designs and operational layouts across safety, cost, associate experience, and efficiency metrics. You will work closely with stakeholders to translate business requirements into scalable, automated BI solutions that enable data-driven decision making.As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. The potential candidate will explore and utilize generative BI and machine learning solutions to innovate and find most efficient solution for complex business problems.Above all you should be passionate about bringing large datasets together to answer business questions and drive change.Key job responsibilities
Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end business intelligence solutions.
Partner with data engineers to identify the source of data and create a data pipeline to collect necessary business inputs to deliver the analytical product.
Support benchmarking and innovation program pilot studies by building robust pilot analyses plan, data collection processes, and analyzing the output to deliver final recommendations.
Utilize predictive analytics, machine learning and generative BI tools to continuously improve the quality of the analytics products and effectiveness of the business insights.
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
Design, develop, and implement BI dashboards, reports, and analytical tools to support the WW Design Benchmarking program and the broader WW Last Mile Design Engineering team.
Maintain and enhance existing BI products used by the WW Design Engineering team.
Collaborate with cross-functional partners and stakeholders to gather business requirements, identify data sources, and deliver actionable insights.
Apply advanced analytics techniques, including predictive modeling and machine learning, to uncover meaningful trends and recommend impactful improvements.
Ensure BI solutions are scalable, maintainable, and follow best practices in data management and visualization.
Continuously optimize data pipelines, reporting processes, and analytical workflows to improve operational efficiency.
Mentor and share knowledge with the broader team of benchmarking and design engineers.
Basic Qualifications
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 sciences, engineering, finance or equivalent
Preferred Qualifications
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.
