Job Description
We are seeking a Business Intelligence Engineer II to join our Customer Service Engineering Services team at Ring & Blink. This role focuses on delivering the next generation of reporting and analytics for Customer Service (CS): owning end-to-end delivery of Amazon QuickSight dashboards, leading the migration of legacy Tableau assets to QuickSight, and inventing AI-enabled analytics experiences on top of our newly consolidated data platform.
You will build production analytics solutions in Amazon QuickSight, partner directly with business stakeholders to shape reporting strategy, and drive adoption of AI-assisted and agentic patterns that move us beyond traditional static dashboards. This is a delivery-and-invention role: you own outcomes end-to-end and set the technical bar for the reporting you own.
Role Context
Customer Service data has been migrated to a dedicated Amazon Redshift cluster (Radius). Core designs and the initial migration are in place. This role focuses on the next phase: retiring the legacy Tableau footprint by rebuilding on QuickSight and Radius, standing up new reporting for business partners, and introducing AI-powered analytics on the modernized platform.
Key job responsibilities
- Deliver Amazon QuickSight dashboards end-to-end - requirements, data modeling, Structured Query Language (SQL), visualization, publishing, iteration.
- Lead Tableau to QuickSight migration workstreams: audit, redesign on Radius, rebuild, sunset legacy assets.
- Partner directly with Customer Service Operations, Workforce Management, Voice of Customer, and Tech leadership on requirements and metric definitions.
- Write and maintain production SQL against Amazon Redshift for modeling, reporting, ad-hoc analysis, and data validation.
- Build Python tooling for parsing, backfills, validation, and reporting automation.
- Contribute to AI-powered analytics solutions using large language models and agentic patterns - self-service question-answering, automated insights, analyst copilots.
- Own data quality, dashboard performance, documentation, and stakeholder satisfaction for the reports you deliver.
A day in the life
A typical week blends delivery, invention, and partnership. You sync with the Data and Analytics team on active dashboards and migration progress, meet a stakeholder to turn a vague reporting ask into a clear metric and plan, and spend focused time in QuickSight writing SQL against Radius and shaping datasets. You redesign a legacy Tableau workbook for QuickSight, prototype an AI-assisted analytics feature such as a natural-language question-answering interface, review a teammate"s work, and trace an unexpected number on an executive dashboard back through the pipeline to land a fix.
About the team
The Ring/Blink Customer Service Engineering and Insights team owns the technical side of customer service, the systems, CRM platforms, contact center tooling, integrations, data warehouse, and analytics that customer service runs on. We bring together Salesforce developers, SDEs, SAs, Business Intelligence Engineers, and Data Engineers to build and operate that stack. This role sits on the Customer Service Data and Analytics sub-team, which owns the data warehouse (Radius on Amazon Redshift), the analytics stack (QuickSight, with Tableau retiring), and the pipelines feeding both. Our culture emphasizes rapid prototyping, problem-solving, and AI-assisted development.
Numbers & Facts
| Location | Hawthorne, CA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
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