Data Science Risk Management Professional
il y a 2 semaines
Amazon Europe is seeking an experienced Data Science Risk Management Professional to join our Data Services Management (DSM) team.
About the RoleThis key position involves building and maintaining complex data management and analytics solutions across Europe, Middle East, and Africa (EMEA).
Key responsibilities include:
- Leading business intelligence and data analytics projects with limited guidance
- Applying statistical and mathematical techniques to analyse large datasets, identify trends, patterns, and insights
- Building and implementing statistical models for predictive analytics
- Ensuring the optimization and efficiency of business intelligence processes
- Providing technical leadership in troubleshooting business intelligence issues
As a Data Science Risk Management Professional on the DSM team, you will work closely with the Security and Loss Prevention team to build scalable and efficient data management and analytics solutions.
You will manage and lead complex business intelligence and data analytics projects, drive initiatives that impact organisational goals and metrics, and lead the design and implementation of business intelligence solutions.
You will also act as a subject matter expert for business intelligence tools and methodologies, provide technical leadership in troubleshooting business intelligence issues, and conduct performance tuning of business intelligence queries and dashboards.
About the TeamThe DSM team supports the Security and Loss Prevention team in securing the Amazon supply chain end-to-end and promoting security during business conversations.
We build data management and analytics solutions to provide the right information at the right time, including providing data-driven decision-making solutions that help Security and Loss Prevention identify, prioritise, initiate, and conduct successful investigations in different business lines.
Required Skills and QualificationsTo be successful in this role, you will need:
- Bachelor's 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)
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