Job ID: 2616037 | Amazon Italia Services Srl
At Amazon we are striving to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright and curious people. We are looking for a Sr. Business Intelligence Engineer to lead in delivering scalable data engineering and analytics solutions as part of the EU Marketplace Business Intelligence team. This role provides a unique opportunity to explore petabytes of data in one of the world's largest data lakes, employing cutting-edge tools and techniques. Your mission will be to deep-dive in these sources of information, reveal insights and construct sustainable Analytics artifacts to drive the growth of Amazon Stores in Europe.
Key job responsibilities
- Support leadership decision-making by deep-diving into business hypotheses and anecdotes.
- Design and automate ETL pipelines for business metrics.
- Design insightful dashboards for a senior non-tech audience.
- Research the most appropriate methodologies for a given analytical problem.
- Contribute to key business documents.
- Collaborate with business stakeholders and tech teams across functions and geographies.
BASIC QUALIFICATIONS- Quantitative or engineering background (e.g. degree in Computer Science, Mathematics, Economics, Physics, etc.).
- 5+ years relevant experience.
- Highly proficient in SQL.
- Experience in ETL processes with large datasets.
- Experience with one or more scripting languages (e.g. Python, R, Matlab, SAS).
- Experience with one or more industry analytics and metrics visualization tools (e.g. Excel, QuickSight, Tableau, MicroStrategy, PowerBI).
- Proficient in descriptive statistics and familiar with inferential statistics and experiments design.
- Experience working directly with business stakeholders to translate between data and business needs.
- Excellent verbal and written communication skills.
PREFERRED QUALIFICATIONS- Master's degree in a quantitative or engineering field.
- Experience with AWS technologies for data analytics (e.g. Redshift, S3, SageMaker).
- Experience with theory and practice of data science, machine learning and data mining.
- Clear communication with senior stakeholders and leadership.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr
