Business Intelligence Engineer, Global Security Organization

Amazon India Security & Loss Prevention (SLP) team is seeking a highly organized, curious, resourceful, and experienced individual to join as a Sr. Business Intelligence Engineer, supporting India Operations. The mission of the India SLP team is to mitigate security and operational risks to the associates, data, physical assets & inventory. The SLP 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.
We are a fast-paced team that encourages end-to-end ownership and innovation. The ideal candidate has an accomplished professional background, demonstrated proficiency in advanced mathematics and/or statistics, and experience as an analyst in a business environment. They are comfortable in analyzing data from multiple sources to create strategic recommendations in a thoughtful, concise manner and obtaining organizational buy-in at senior levels. They are well-organized, can manage multiple analyses/projects simultaneously, and is intellectually curious. This person uses data to guide decision-making, has strong business judgement, and can think creatively about new opportunities.

The candidate must have a track record of delivering across teams that span both business and technical competencies, gathering business requirements and creating BI and analytics solutions that have measurable customer impact, and demonstrating exemplary written and verbal communication skills. The candidate will have to set the right vision, strategy and roadmap and work alongside with stakeholders in the organization to make it happen. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. S/he will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and be able to lead a team to innovate and think big, while diving deep to meet our bar for quality and accuracy.



Key responsibilities include:
Work on operations and maintenance driven coding projects, primarily in java, web technologies
Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services
Software development and deployment support in production environments
Develop new tools to aid loss prevention team operations and maintenance
System and Support status reporting

BASIC QUALIFICATIONS
1. Degree in Economics, Engineering, Statistics, Data Science, Computer Science
2. Extensive experience with multiple python libraries
3. Experience creating, deploying and maintaining machine learning models
4. Experience with AWS technologies including: S3, Lambda, SageMaker, Redshift and IAM roles and permissions.
5. Experience building complex SQL queries with large scale datasets
6. Experience building products on data visualisation tools - QuickSight, PowerBI, Tableau
7. Experience with data modeling, warehousing and building ETL pipelines
8. Experience with scripting language (e. g. , Python, Java, or R)
9. Understanding of statistical methods (e. g. t-test, Chi-squared).

PREFERRED QUALIFICATIONS
1. Experience working directly with business stakeholders to translate between data and business needs
2. Technical Program Management / Product Management
3. Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. Knowledge of AWS services and Data Engineering basics.
4. Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
5. Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
6. Experience in designing and delivering cross functional custom reporting solutions.
7. Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.
8. Proven ability to meet tight deadlines, multi-task, and prioritize workload.
9. A work ethic based on a strong desire to exceed expectations.
10. Proven track record of ability to influence business partners to balance the need to deliver fast and build scalable solutions.



- 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