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

EVEREST CONSULTING GROUP

Kansas City, MO, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Business Analytics Applications Data Analysis JIRA Data Files Extract Transform Load (ETL) Data Visualization Performance Tuning Power BI Standard Sql

+18 more

Salesforce.Com SQL Databases Tableau (Software) Automatic Programming Enterprise Software Applications Application Enhancement Tool Chatbots Microsoft Power Automate Zapier Slack Low-code Tools for Reporting Virtual Agents Webhooks Looker Analytics Data Pipelines Api Management Servicenow

Job description

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., * 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

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, * 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).