Description

We're seeking a talented Business Intelligence Engineer to join our Customer Service Engineering Services team at Ring & Blink. In this transformative role, you'll help architect and build our next-generation data warehouse while developing AI-powered dashboards that enable deep analytical capabilities for our business users. You'll establish data quality frameworks to ensure reporting accuracy and have the opportunity to contribute to various AI initiatives, working alongside engineers who build large-scale enterprise software. This position sits at the intersection of traditional business intelligence and advanced technology, offering the unique opportunity to work with advanced AWS services, machine learning tools, and enterprise-scale software development while impacting millions of customers through data-driven insights.

Key job responsibilities

Design, develop, and maintain business intelligence solutions using Tableau and Amazon QuickSight

Lead data engineering initiatives to modernize our data warehouse architecture

Collaborate with stakeholders to understand reporting requirements and translate them into technical specifications

Audit and rebuild legacy reports to ensure data accuracy and reliability

Implement data quality frameworks and monitoring systems

Develop ETL pipelines to integrate data from multiple sources including Salesforce, AWS services, and third-party applications

Partner with cross-functional teams to establish data governance standards

Create and maintain documentation for data models, pipelines, and reports

A day in the life

In this role, you'll lead the data analytics initiatives and develop business intelligence solutions using Tableau and QuickSight. Working closely with stakeholders, you'll translate business requirements into technical solutions while maintaining ETL pipelines that integrate data from Salesforce, AWS services, and third-party applications. You'll balance strategic projects with operational needs - from modernizing data warehouse architecture to implementing quality frameworks. As a key member of the CS Engineering Services team, you'll establish data governance standards and deliver impactful data-driven insights that drive business decisions.

About the team

The CS Engineering Services team powers customer service operations for Blink and Ring, unifying expert Salesforce developers, software engineers, BI engineers, and data scientists. We deliver innovative solutions that enhance customer experience and agent effectiveness through advanced solutions and data-driven insights. Our culture emphasizes rapid prototyping, creative problem-solving, and continuous learning through cross-training. Team members are empowered to think strategically and propose innovative approaches to complex problems.

Basic Qualifications

Bachelor's degree in Computer Science, Information Systems, or related field

5+ years of experience in business intelligence and data engineering

Strong proficiency in SQL and data modeling

Extensive experience with Tableau and/or Amazon QuickSight

Experience with ETL tools and data pipeline development

Understanding of data warehouse concepts and dimensional modeling

Knowledge of Python or similar programming languages

Preferred Qualifications

Experience with Salesforce reporting and analytics

Familiarity with AWS services (Redshift, S3, Glue, etc.)

Knowledge of dbt or similar data transformation tools

Experience with real-time data processing and streaming

Background in customer service analytics

Certified AWS Data Analytics Specialist

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.