Remote BI & Analytics Validator for AI Dashboards

YO AI Labs; Atlanta (GA); Remote; USD 83,000 - 165,000; Part time

Job summary

YO AI Labs is seeking an experienced BI & Analytics Expert to evaluate and improve AI-powered analytics workflows. The role focuses on dashboards, KPIs, data visualizations, and validation across leading BI platforms, with testing of AI agents in analytics pipelines.

You will review data sources, calculations, and reporting logic to ensure accuracy and actionable business insights, while documenting findings for structured feedback to train next-generation AI systems.

Qualifications

• Experience evaluating and improving AI-powered analytics workflows.
• Proficient in validating dashboards, KPIs, data visualizations, and reporting logic.
• Strong knowledge of BI platforms (Power BI, Tableau, Looker, Qlik, Sigma).
• Experience testing AI agents within analytics pipelines and validating data sources.

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 insights.
• Test AI agents like ChatGPT Work, Codex, and Claude Cowork in analytics workflows.
• Identify errors and opportunities for improvement; document findings and provide feedback.
• Evaluate BI integrations with tools like Google Drive, Slack, Microsoft 365, SharePoint, and Salesforce.

Skills

Business Intelligence

Data Analytics

Power BI

Tableau

Looker

Qlik

Sigma

Databricks

MySQL

Data Visualization

Dashboard Development

Reporting

KPI Analysis

ChatGPT Work

Codex

Claude Cowork

AI Agents

Workplace Connectors

Job description

YO AI Labs is seeking an experienced BI & Analytics Expert to evaluate and improve AI-powered analytics workflows. The role focuses on dashboards, KPIs, data visualizations, and validation across leading BI platforms, with testing of AI agents in analytics pipelines.

You will review data sources, calculations, and reporting logic to ensure accuracy and actionable business insights, while documenting findings for structured feedback to train next-generation AI systems.