Data Driven Loss Prevention Specialist
6 days ago
This role is with myGwork, an inclusive employer and a member of the largest global platform for the LGBTQ+ business community. As a Sr. Business Intelligence Engineer, you will support India Operations by mitigating security and operational risks.
About Amazon Security & Loss Prevention TeamThe mission of the India SLP team is to protect against various threats and manage security and loss prevention risks, ensuring a safe and secure work environment. We achieve this by preventing security-related risks and vulnerabilities, intervening in unfolding incidents, and thoroughly investigating security-related incidents to identify and remove root causes.
About the RoleWe are looking for a highly organized and experienced individual with an accomplished professional background, demonstrated proficiency in advanced mathematics and/or statistics, and experience as an analyst in a business environment. You should be comfortable analyzing data from multiple sources, creating strategic recommendations, and obtaining organizational buy-in at senior levels.
Key Responsibilities- Work on operations and maintenance driven coding projects primarily in Java and web technologies
- Provide support for incoming tickets, including extensive troubleshooting tasks, 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
- Degree in Economics, Engineering, Statistics, Data Science, or Computer Science
- Extensive experience with multiple Python libraries
- Experience creating, deploying, and maintaining machine learning models
- Experience with AWS technologies, including S3, Lambda, SageMaker, Redshift, and IAM roles and permissions
- Experience building complex SQL queries with large-scale datasets
- Experience building products on data visualization tools, such as QuickSight, PowerBI, and Tableau
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with scripting languages, such as Python, Java, or R
- Understanding of statistical methods, such as t-test and Chi-squared
- Experience working directly with business stakeholders to translate between data and business needs
- Technical Program Management/ Product Management
- Experience with AWS solutions, such as EC2, DynamoDB, S3, and Redshift
- Experience with big data technologies, such as Hadoop, Hive, Spark, and EMR
- Experience with non-relational databases/data stores, such as object storage, document or key-value stores, graph databases, and column-family databases
- Experience in designing and delivering cross-functional custom reporting solutions
- Excellent oral and written communication skills, including the ability to communicate effectively with both technical and non-technical stakeholders
- Proven ability to meet tight deadlines, multi-task, and prioritize workload
- A strong work ethic based on a desire to exceed expectations
- Proven track record of influencing business partners to balance the need to deliver fast and build scalable solutions
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