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Senior Business Intelligence Data Architect
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Amazon is a leading technology company that leverages its scale and speed to provide customers with flexibility to access a wide range of products and services. We are passionate about data, engineering, and analytics, and we are looking for a talented individual who shares our passion.
Key Responsibilities- Design and develop scalable and resilient data solutions for real-time and batch processing, enabling self-service business intelligence for analytics users.
- Build ETL pipelines, statistical models, and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities.
- Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly.
- Develop end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress.
- Perform complex analyses to inform product strategy, design, and business priorities, presenting insights and recommendations to senior leadership.
- Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance.
- Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities.
We value diversity and inclusion, and we strive to create a culture that empowers our employees to be proud of their differences. Our employee-led affinity groups foster a culture of inclusion, and we offer ongoing events and learning experiences to inspire our employees to never stop embracing their uniqueness.
We also value work-life balance, and we offer flexible work hours and arrangements to support our employees' needs. Our goal is to create a work environment that allows our employees to achieve success without sacrificing their personal lives.
Basic Qualifications- 8+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience with AWS technologies
