Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. Our Org in the Amazon Robotics is responsible for Manipulation programs which is at the forefront of building automation products for manipulating packages and individual items in our fulfillment centers. We are seeking a talented, enthusiastic, and experienced Business Intelligence Engineer to join our team. In this role, you will be responsible for developing and implementing data models, data governance frameworks, and interactive dashboards and visualizations to drive data-driven decision-making across the organization. You will collaborate with stakeholders to understand their analytical needs and provide self-service analytics and reporting capabilities.


Key job responsibilities
- Develop and maintain data models and schemas for KPI metrics
- Develop self-service analytics and reporting capabilities, enabling users to explore and analyze data independently.
- Collaborate with business users to understand their analytical requirements and translate them into effective visualizations and reports.
- Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.
- Continuously monitor data quality and optimize data flows to ensure efficient and reliable data delivery.
- Analyze data sources for relevance, quality, and potential integration into the BI ecosystem.
- Conduct enterprise-wide data discovery and profiling to identify potential data sources and understand their characteristics.
- Build interactive dashboards and visualizations to present key performance metrics and insights.


A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

BASIC QUALIFICATIONS

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

PREFERRED QUALIFICATIONS

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.