Business Intelligence Engineer, CE&I Analytics and Products

Description

The CE&I Analytics & Products Team has an immediate need for a creative and driven Business Intelligence Engineer (BIE) with a passion for building solutions that have a measurable impact. The right candidate will be innovative and technically versatile. They will have the opportunity to work with one of the largest and most complex data warehouses in the world to gather insights using tools from across Amazon. Their efforts will support GloPro and Amazon Stores Customer Service’s Operations and Programs teams to solve problems and delight our customers.

This candidate should be an expert in the architecture implementation of data processing solutions using multiple platforms. They should excel in the design, creation, management, and business use of extremely large datasets. The role requires excellent business and communication skills to work with analysts, data engineers, and program managers to determine how best to design reporting solutions and analytics data systems. The ability to learn new technology and develop industry relevant architectures and convey business value is critical to the role.

Key job responsibilities

Design and implement data pipelines from disparate sources to ingest, transform, and store the data in various relational and non-relational models. Gathering and understanding data requirements, working with cross-functional teams to achieve high quality and scalable data solutions for our products and mechanisms. Dive deep into technical details (e.g., key dependencies, design choices, operability, etc.) with engineering teams and drive constructive technical discussions. Build end-to-end BI solution designs (quality, scalability, latency, security, performance, data integrity, etc.). Determine lineage to understand the chain of custody and transformation of data Create interactive visual dashboards with QuickSight, Tableau, Power BI and other data-viz tools. Exploring and learning the latest AWS technologies to provide new capabilities and increase efficiency. Write clear documentation, architecture documents and create an engineering roadmap. Create technical content that is easily adopted and reusable by others.

A day in the life

The role is part of a BI & Analytics solutions development team in Customer Service Global Programs Analytics & Products. The primary focus is on iterating and improving existing solutions; from minimizing maintenance to building new features and capabilities for our users and stakeholders in Customer Service.

You will lead and drive the implementation of data ingestion and transformation processes that can go from user interface to back-end. You will actively partner with our community of tech and non-tech team members (Data Engineers, BI Engineers, Data Scientists, BAs, and PMs) in designing and implementing our roadmaps for key Customer Service metrics.

Summary

“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!”Benefits Summary:

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:

Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) Plan

About The Team

The CE&I Analytics & Products team provides ad-hoc analysis support in the form of consultation, project scoping, research, experimental design, project solution validation, and advanced analytics including machine learning models and algorithms. To increase the speed of data-driven actions by our stakeholders, we build automated self-serve solutions and web applications. In addition, we produce scalable analytics mechanisms and solutions through automation, data visualization and tools.

Members of this team will be challenged to innovate use the latest big data techniques. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you are autonomous and love to implement solutions to complex problems while working hard, having fun, and making history, this may be your opportunity.

We are open to hiring candidates to work out of one of the following locations:

Austin, TX, USA | Nashville, TN, USA

Basic Qualifications

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

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.

Company - Amazon.com Services LLC

Job ID: A2617754