BI & AI Automation Engineer – Amazon Quick Sight / AWS Analytics

Introduction: We are seeking a skilled Business Intelligence (BI) and AI Automation Engineer with expertise in Amazon Quick Suite (including QuickSight) and AWS analytics services to support business teams in building scalable, self-service reporting solutions and intelligent workflow automation. The ideal candidate will partner closely with business stakeholders to understand reporting and automation needs, enable self-service analytics, design reusable reporting frameworks, build AI-powered workflows, and implement agentic AI solutions that reduce manual effort, compute costs, and improve operational efficiency across the organization.

Responsibilities:

• Quick Suite Development & AI-Powered Reporting
• AI Workflow Automation & Agent Development
• Self-Service BI & AI Enablement
• Data Modeling & Dataset Engineering
• Reporting Frameworks & Reusable Components
• Performance Optimization & Cost Management
• Collaboration with Business & Data Teams
• Governance, Documentation & Standards

Requirements:

Required Skills:

• 8+ years of experience in Business Intelligence, Analytics Engineering, or Data Visualization.
• Strong hands-on experience with Amazon Quick Suite (including QuickSight).
• Experience designing interactive dashboards and enterprise reporting solutions.
• Solid knowledge of SQL and data modeling.
• Experience working with AWS analytics services such as Athena, Redshift, S3, Glue.
• Experience enabling self-service analytics for business users.
• Strong understanding of data visualization best practices.
• Experience optimizing reporting performance and cost efficiency.
• Ability to learn and adopt new AI-powered tools and platforms rapidly.

Key Skills:

• Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research)
• SQL & Data Modeling
• AWS Analytics Stack
• Dashboard Design
• AI Agent Design & Configuration
• Workflow Automation & Business Process Optimization
• BI Architecture
• Self-Service Analytics Enablement
• Performance Optimization
• Cost Optimization
• API Integration & Enterprise Connectors
• Stakeholder Communication

Preferred Qualifications:

• Hands-on experience with Amazon Quick Suite (Quick Chat, Quick Flows, Quick Automate, Quick Research, Quick Spaces).
• Experience building conversational AI agents, chatbots, or automation workflows.
• Experience with API integrations, webhooks, and enterprise application connectors (Salesforce, ServiceNow, Slack, Jira).
• Experience building QuickSight templates, themes, and reusable datasets.
• Experience with BI governance and semantic layer design.
• Familiarity with data pipelines and ETL frameworks.
• Knowledge of AWS cost optimization strategies.
• Experience supporting large-scale enterprise reporting environments.
• Experience with other BI tools such as Tableau, Power BI, or Looker.
• Experience with low-code/no-code automation platforms (Zapier, Power Automate, Workato).