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BI & AI Automation Engineer Amazon Quick Sight / AWS Analytics

Job

EVEREST CONSULTING GROUP, INC

Kansas City, KS (In Person)

Full-Time

Posted 2 weeks ago (Updated 1 week ago) • Actively hiring

Expires 7/12/2026

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Job Description

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).