AmazonBusiness Intel Engineer II, Ring/Blink Customer Service Engineering and Insights
AI in this role
Build production analytics, migrate legacy dashboards, and create AI-enabled analytics experiences for customer service.
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.
Basic qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- 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
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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Hawthorne - 99,500.00 - 160,000.00 USD annually
How we rate this
Business Intel Engineer II, Ring/Blink Customer Service Engineering and Insights at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Amazon Quicksight hands-on?
- Walk me through how you've used Tableau in your day-to-day work.
- What are the limits of Amazon Redshift that you've run into, and how did you work around them?
- What's a project where you used Python hands-on?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Amazon Quicksight, Tableau, Amazon Redshift, Python, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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