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Amazon Senior BIE EU Deforestation Free Regulation Ops Risk Compliance Analytics 
United Kingdom, England, London 
911760812

16.09.2024
DESCRIPTION

You should have very good communication skills and ability to adjust communication style to different groups of stakeholders as you will be collaborating with data engineers, data scientists and business managers to evaluate their needs and objectives in order to provide accurate insights in the emerging regulations and compliance field.To be successful in the role, you will need deep analytical skills and a strong scientific background.The role also requires excellent communication skills, and an ability to influence across business functions at different levels.You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams.Key job responsibilities
Your responsibilities will include:Develop, adapt and execute mathematical models tools to optimize our future Operations, Risk and Compliance processes.

BASIC QUALIFICATIONS

- Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, OR, Engineering).
- 5+ years of relevant experience, Proficiency with SQL,ETL management and programming languages with a focus on data analytics (Python, R, Java etc.)
- Proven expertise in data visualization platforms e.g., Tableau, QuickSight, QlikSense and PowerBI
- Expertise in modern data warehousing techniques (dimensional data modelling, experience with ETL, etc.)
- Familiarity with Data Science, mathematical modelling and statistical modelling.
- Sharp analytical abilities, excellent oral and written communication skills.
- Ability to handle multiple competing priorities in a fast-paced environment.
- Experience communicating with technical and non-technical stakeholders across multiple business units


PREFERRED QUALIFICATIONS

- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
- Knowledge on modelling techniques