Business Intelligence Engineer

Job description

DESCRIPTION

At Amazon, we are committed to being the most customer-centric company on earth. The North American Supply Chain Organization (NASCO) is comprised of high-powered dynamic teams which are shaping network execution through the development and application of innovative supply chain management concepts. Our goal is to improve and enhance the Amazon Fulfillment network to ultimately drive the best customer experience in a reliable and cost-efficient manner.

Amazon is looking for a motivated individual with strong analytical skills and technology experience to join our Inbound Cross Dock team (IXD) within NASCO.

In this position, the successful candidate will be responsible for identifying opportunities and implementing initiatives to improve inventory placement and fulfillment to our customers. As a member of the IXD team, they will play an integral part in Amazon.com's inventory management by successfully partnering with various operations, transportation, IT, retail, and finance teams to support new business initiatives. The candidate should enjoy diving into data then recommending and executing solutions to enhance the supply chain. Position provides opportunities to influence one of the high visibility/high impact areas in the organization.

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must.
This role will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. The role will involve translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for influence and growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon's customers.

The complexity of research and skills for this role is well beyond basic data entry and research. It involves complex analysis and diving deep into key metrics based on requests, building and maintaining multiple databases, knowledge of software applications to create tools, and understanding of multiple programming languages.

The following provides some detail of the job duties and responsibilities.
· Use analytical and statistical rigor to solve complex problems and drive business decisions.
· Manipulate/mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL.
· Manipulate/mine data from log files by writing scripts (ex. PERL, Python, UNIX)
· Develop analytical tools: deep-dive tools, UIs, metrics, and dashboards
· Perform deep-dives and root cause analysis to answer business questions

Desired profile

BASIC QUALIFICATIONS

· BS in Computer Science, Machine Learning, Operations Research, Applied Mathematics, Applied Economics or in another quantitative field OR 2+ years of Amazon experience
· 6+ years of hands-on experience in data mining and/or quantitative analysis – both descriptive and inferential/predictive analysis.
· Experience with analytics tools such as R or Python
· Advanced SQL knowledge and good understanding of data warehousing concepts. Experience with big data: processing, cleaning, filtering, and analyzing millions of rows of data to extract actionable insights.
· Ability to distill problems and constraints from informal business requirements and to be comfortable dealing with ambiguity and competing objectives
· Proven capability to identify opportunities to combine disparate data sources to uncover new business insight
· Strong attention to detail, excellent organizational skills, and ability to manage multiple projects.
· Ability to distill and communicate complex analysis and insights in oral presentation and written form