Are you interested on understanding how purchase and delivery experience for small businesses and large corporations works within Amazon? Can you help improve the way we customise processes to better suit the needs of companies looking to procure essential products for their operation?

We are Amazon Business Cart-to-Delivery team and we are looking to expand the way we serve B2B customers by innovating on the supply chain processes that are key to our integration.

AB aims to become the most customer-centric provider of products and procurement services for business, government, and industry in the world. We’re off to a big start. After launching in 2015 in the United States, Amazon Business quickly reached $1 billion in annualized revenue. Now we’re expanding outside the United States. Building on top of Amazon’s long history of customer focus and innovation, and our drive to think big, AB is addressing a new set of customer needs in a vast new market segment. While we can rely on Amazon’s existing capabilities in user experience, convenience, selection, pricing and logistics, we need to re-invent core parts of the purchase and delivery experience to serve the needs of businesses and other institutional buyers – from the kinds of products we offer, to our fulfilment methods, to close integration with corporate purchasing systems.

As an AB 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.
Above all you should be passionate about bringing large datasets together to answer business questions and drive change.


· PhD in Supply Chain, Engineering, Math, Business Analytics, Transportation, Operations Research or other Operations disciplines; or equivalent PhD level degree is required
· 3+ years of industry experience in the operations, general management or engineering fields.
· Strong analytical skills including SQL, including the ability to pull data and use data to identify and solve ambiguous problem
· Technical aptitude and familiarity with the design and utilization of complex systems
· Knowledge of Java, Python, R, Tableau, and SQL required.
· Superior professional written and communication skills


· Very strong experience with Tableau and similar visualization tools.
· Ability to create dashboards and reports in an actionable way to drive business change
· Knowledge and understanding of statistics, percentiles, data aggregation and analysis
· Experience in writing SQL, data modeling, data mining (SQL, ETL, data warehousing) and using databases in a business environment with complex datasets
· Experience with Oracle, Redshift or any other data warehouses.
· Impeccable customer service with a demonstrated desire to exceed expectations; a team player with a solid work ethic
· Great organizational skills and attention to detail; you are able to juggle and prioritize multiple tasks simultaneously
· Experience with data extraction using SQL; ad-hoc reporting; manipulation of raw data; creation and updating of pivot tables and metrics presentations
· Strong interpersonal skills and ability to influence and effectively communicate technical information to internal and external customers who are both technical and non-technical
· Ability to identify and resolve issues independently in a rapidly changing environment; taking initiative in ambiguous circumstances
· Ability to take a project from scoping requirements through actual launch of the project
· Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
· Experience with processing large data sets and generating analytics
· Knowledge of and experience with both compiled languages (Java preferred) as well scripting languages (Python preferred)

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