Risk Manager - Data Analytics, Loss Prevention - Data Services Management
Risk Manager - Data Analytics, Loss Prevention - Data Services Management
Posted on :
26-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Our operations network known for our speed accuracy and exceptional service delivers millions
of packages and smiles to Amazon customers every day. To keep our operations network secure
and assure operational continuity we are looking for an experienced professional who wants to join
our Data Services Management (DSM) team as Risk Manager - Data Sience.
In this key role you will build and maintain difficult data management and analytics solutions across Europe Middle East and Africa
(EMEA).
Key job responsibilities
- Manage and lead difficult business intelligence and data analytics projects with limited guidance
- Apply statistical and mathematical techniques to analyse large datasets identify trends patterns and insights
- Build and implement statistical models for predictive analytics
- Ensure the optimization and efficiency of business intelligence processes
- Act as subject matter expert for business intelligence tools as well as methodologies and provide technical leadership in troubleshooting business intelligence issues
A day in the life
As a Risk Manager on the DSM team you will join a team of professionals supporting the Security
and Loss Prevention team with building as well as maintaining scalable and efficient data
management and analytics solutions.
To achieve this goal you will manage and lead difficult business intelligence and data analytics projects with limited guidance and drive initiatives that impact organisational goals and metrics. You will lead the design and implementation of business intelligence solutions by critically assessing stakeholders requests to develop the best solution and by leading exploratory data analysis to identify patterns and trends by utilizing statistical methods for data interpretation.
You also lead business intelligence analytics to optimize business processes and ensure the optimization and efficiency of business intelligence processes in general. You will act as subject matter expert for business intelligence tools as well as methodologies and provide technical leadership in troubleshooting business intelligence issues. Finally you will conduct performance tuning of business intelligence queries and dashboards and stay updated on industry trends and advancements in business intelligence technologies.
About the team
Working in partnership with our stakeholders Security and Loss Prevention secures the Amazon
supply chain end-to-end and promotes security during business conversations.
The DSM team is a support function to Security and Loss Prevention with responsibility to build data management and analytics solutions to provide the right information at the right time. This includes providing data- driven as well as decision-making solutions that help Security and Loss Prevention to identify prioritize initiate and conduct successful investigations in the different business lines. The DSM team builds solutions to forecast losses simulate and measure the impact of security-related measures to enable Security and Loss Prevention to proactively address security-related risks.
- Bachelors degree or equivalent
- Relevant advanced experience building complex SQL queries with large scale datasets
- Relevant advanced experience building products on data visualisation tools (e.g. QuickSight PowerBI Tableau)
- Relevant advanced experience with data modelling warehousing and building ETL pipelines
- Relevant advanced experience with scripting language (e.g. Python Java or R)
- A relevant advanced degree or advanced degree equivalent
- Relevant advanced experience with multiple python libraries
- Relevant advanced experience creating deploying and maintaining machine learning models
- Relevant advanced experience with AWS solutions such as S3 Lambda SageMaker
- Redshift
- Understanding of statistical methods (e.g. t-test Chi-squared)
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
of packages and smiles to Amazon customers every day. To keep our operations network secure
and assure operational continuity we are looking for an experienced professional who wants to join
our Data Services Management (DSM) team as Risk Manager - Data Sience.
In this key role you will build and maintain difficult data management and analytics solutions across Europe Middle East and Africa
(EMEA).
Key job responsibilities
- Manage and lead difficult business intelligence and data analytics projects with limited guidance
- Apply statistical and mathematical techniques to analyse large datasets identify trends patterns and insights
- Build and implement statistical models for predictive analytics
- Ensure the optimization and efficiency of business intelligence processes
- Act as subject matter expert for business intelligence tools as well as methodologies and provide technical leadership in troubleshooting business intelligence issues
A day in the life
As a Risk Manager on the DSM team you will join a team of professionals supporting the Security
and Loss Prevention team with building as well as maintaining scalable and efficient data
management and analytics solutions.
To achieve this goal you will manage and lead difficult business intelligence and data analytics projects with limited guidance and drive initiatives that impact organisational goals and metrics. You will lead the design and implementation of business intelligence solutions by critically assessing stakeholders requests to develop the best solution and by leading exploratory data analysis to identify patterns and trends by utilizing statistical methods for data interpretation.
You also lead business intelligence analytics to optimize business processes and ensure the optimization and efficiency of business intelligence processes in general. You will act as subject matter expert for business intelligence tools as well as methodologies and provide technical leadership in troubleshooting business intelligence issues. Finally you will conduct performance tuning of business intelligence queries and dashboards and stay updated on industry trends and advancements in business intelligence technologies.
About the team
Working in partnership with our stakeholders Security and Loss Prevention secures the Amazon
supply chain end-to-end and promotes security during business conversations.
The DSM team is a support function to Security and Loss Prevention with responsibility to build data management and analytics solutions to provide the right information at the right time. This includes providing data- driven as well as decision-making solutions that help Security and Loss Prevention to identify prioritize initiate and conduct successful investigations in the different business lines. The DSM team builds solutions to forecast losses simulate and measure the impact of security-related measures to enable Security and Loss Prevention to proactively address security-related risks.
- Bachelors degree or equivalent
- Relevant advanced experience building complex SQL queries with large scale datasets
- Relevant advanced experience building products on data visualisation tools (e.g. QuickSight PowerBI Tableau)
- Relevant advanced experience with data modelling warehousing and building ETL pipelines
- Relevant advanced experience with scripting language (e.g. Python Java or R)
- A relevant advanced degree or advanced degree equivalent
- Relevant advanced experience with multiple python libraries
- Relevant advanced experience creating deploying and maintaining machine learning models
- Relevant advanced experience with AWS solutions such as S3 Lambda SageMaker
- Redshift
- Understanding of statistical methods (e.g. t-test Chi-squared)
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
