Description

We are looking to hire an insightful, results-oriented Business Intelligence Engineer to produce and drive analysis for Worldwide Operations Security (WWOS) Team in Amazon. The mission of the WWOS team is to mitigate security and operational risks to the associates, data, physical assets & inventory. The WWOS team ensures smooth run of the day-to-day business operations by protecting against various threats and by managing security and loss prevention risks, thereby ensuring a safe and secure work environment. This is achieved by preventing the security related risks and vulnerabilities as early as possible by intervening in unfolding incidents and exposures in order to minimize any negative impact and by investigating thoroughly security related incidents in order to identify and remove root causes and to prevent re- occurrence.
About the organisation

Global Data Services within WWOS Tech is a dedicated function focused on Data Services, Investigations insights and End-to-End-Secure-Network (E2ESN). We work with wider WWOS teams to standardize and automate business processes and mechanisms to provide deep actionable insights to support field teams to conduct investigations, identify fraudulent Modus Operandi (MO), build scalable programs and thus prevent loss. Data Analytics aspires to be the business transformation platform of choice that reshapes the way our customers and stakeholders leverage technology to build and operate their businesses.
We are looking for a top analytical mind to leverage our unique data and big data technologies to drive actionable insights that helps our self-service advertisers reach their full potential.
An ideal candidate will be someone with sound technical background in managing large data infrastructures, working with petabyte-scale data, building scalable data solutions/automations and driving operational excellence. An ideal candidate will be someone who is a self-starter that can start with a Platform requirement & work backwards to conceive and devise best possible solution, a good communicator while driving customer interactions, a passionate learner of new technology when the need arises, a strong owner of every deliverable in the team, obsessed with customer delight, business impact and gets work done in business time.
As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, building data solutions supporting business and communicating results effectively. We see a high potential for 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 WWOS Stakeholders.
This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including product managers, software engineers, data scientists, financial analysts, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced and high-energy environment.
This role promises to give exposure to a high growth business that is taking off. This BIE will be actively involved in building new metrics, understanding impact of product changes, and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques. This role provides the opportunity to use emerging technologies such as machine learning and Agentic AI to build models and tools used by management for strategic decision making.

Key job responsibilities
. Design/implement automation and manage our massive Data infrastructure to scale for the Analytics needs of GSO
. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets
. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
. Build data pipelines and predictive models to enable new metrics
. Complete project based deep dives to drive business insights and guide product strategy
. Present findings and recommendations to business leadership
. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
. Drive operational excellence strongly within the team and build automations and mechanisms to reduce operations
. Enjoy working closely with your peers in a group of very smart and talented engineers.
. Use emerging technologies like Agentic AI and AWS platform to package data analytics into self service solutions to customers

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt 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
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling

Preferred Qualifications

- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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Business Intelligence Engineer II, Worldwide Operations Security (WWOS), APAC S&LP