Remote BI & Analytics Expert for AI-Powered Dashboards

YO AI Labs; Los Angeles (CA); Remote; USD 83,000 - 165,000; Full time

Job summary

YO AI Labs is seeking a remote Business Intelligence & Analytics Expert to evaluate and improve AI-powered analytics workflows. You will review dashboards, KPIs, and data visualizations, and test AI agents within analytics processes.

The role focuses on validating data sources, metrics, and reporting logic across BI platforms and cloud integrations, delivering concrete feedback to enhance AI training cycles.

Qualifications

• Experience in BI, analytics, reporting, or data visualization.
• Hands-on experience building or validating dashboards and analytical workflows.
• Strong knowledge of BI tools, SQL, data sources, and KPI reporting.
• Experience using generative AI or AI agents in professional workflows.
• Experience integrating BI platforms with workplace and cloud-based systems.

Responsibilities

• Review and validate dashboards, reports, KPIs, and data visualizations.
• Build or refine dashboards using Power BI, Tableau, Looker, Qlik, Sigma, or Databricks.
• Check data sources, calculations, metrics, and reporting logic for accuracy.
• Evaluate KPI structures and analytical outputs for actionable business insights.
• Test AI agents such as ChatGPT Work, Codex, and Claude Cowork in analytics workflows.
• Identify errors, inconsistencies, and opportunities for improvement.
• Document findings and provide structured feedback.
• Evaluate BI integrations with tools such as Google Drive, Slack, Microsoft 365, SharePoint, and Salesforce.

Skills

Business Intelligence

Data Analytics

Power BI

Tableau

Looker

Qlik

Databricks

MySQL

Data Visualization

KPI Analysis

AI Agents

ChatGPT Work

Codex

Tools

Power BI

Tableau

Looker

Qlik

Sigma

Databricks

Job description

YO AI Labs is seeking a remote Business Intelligence & Analytics Expert to evaluate and improve AI-powered analytics workflows. You will review dashboards, KPIs, and data visualizations, and test AI agents within analytics processes.

The role focuses on validating data sources, metrics, and reporting logic across BI platforms and cloud integrations, delivering concrete feedback to enhance AI training cycles.