Business Intelligence Engineer, Amazon Pharmacy Storefront Big Data Platform and Analytics

We at Amazon Pharmacy are on a mission to reinvent pharmacy and are committed to building world's most customer-centric pharmacy experience. We do this by delivering secure, convenient and price competitive pharmacy experience. The central analytics and data platform team plays a pivotal role in enabling data based business decisions.

As a Business Intelligence Engineer at Amazon Pharmacy, you will:

• Partner with Pharmacy business, tech and data science leadership to define and deliver a world-class data infrastructure
• Architect scalable and resilient data solutions for real time and batch processing
• Build self-service business intelligence infrastructure for Amazon Pharmacy analytics users
• Work with SDEs/other DEs to invent, design and build data solutions that are stable and performant
• Help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews

About the team: We accelerate business insights and data-driven innovation by providing trustworthy, intuitive, on-time and cost-efficient analytics and data engineering solutions. Our team:

1. Provides data warehousing solutions for undifferentiated heavy lifting
2. Identifies and capitalizes on opportunities for privacy and security improvements, cost reduction, and greater organizational efficiency
3. Continuously looks ahead to identify common patterns in analytics and 'pave the road' for Amazon Pharmacy teams
4. Leverages our position as a central analytics team to surface key performance indicators for product and process improvements

This role offers an exciting opportunity to work with big data tools and AWS technologies, solving complex technical challenges and making a significant impact on Amazon Pharmacy's growth and mission to be Earth's Best Pharmacy.

Qualifications:

• Experience building measures and metrics, and developing reporting solutions
• Experience in scripting for automation (e.g. Python) and advanced SQL skills
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
• Completed Bachelor's degree

Preferred Qualifications:

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Master's degree in statistics, data science, or an equivalent quantitative field
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.

Amazon offers a competitive compensation package, including equity, sign-on payments, and a full range of medical, financial, and other benefits. The base pay for this position ranges from $89,600/year to $185,000/year, depending on the geographic market and job-related factors.