Amazon Business Intelligence Engineer III 

India, Telangana, Hyderabad 

481670043

You will design and implement streamlined data pipelines that can scale for volume, velocity, variety, and veracity. Your talent is wanted to make model results measured. You will build metrics and procedures to quantify their goodness and badness (much easier said than done). Your talent is wanted to democratize analytics. You will design and build dash- and visualization functionalities that will help our team members and business customers to explore complex multi-dimensional data produced by production systems as well as our models.You should be a self-starter who knows and loves working with BI tools, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets. You will also have the opportunity to display your skills in the following areas:- Performing analysis and validation using mathematical optimization models for network design tasks
- Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.- Communicating with senior management as well as with colleagues from different backgrounds
Key job responsibilities
- Build and design data pipelines and orchestrations design that can scale for volume, velocity, variety, and veracity.
- Develop metrics that helps support product category growth and expansion plans
Support Ops Analytics is dedicated to delivering timely data insights to the leaders of Support Operations. We create dashboards, reports, and data pipelines to enable our stakeholders to move as quickly as possible in meeting our goals while maintaining a quality selling partner experience.Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10+ 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 with AWS technologies
- 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