Our team is engaging Business Intelligence & Analytics Experts to contribute to an innovative customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for professionals with hands-on experience building, managing, or validating dashboards, reports, and analytical workflows using leading BI and analytics tools.
Scope of Work
• Review, analyze, and provide feedback on data dashboards, analytical reports, and visualizations across various BI platforms.
• Develop, validate, or refine interactive dashboards and data visualizations using Power BI, Tableau, Looker, Qlik, Sigma, Databricks, or comparable tools.
• Evaluate and troubleshoot calculation logic, data sources, and metrics to ensure precision and reliability of outputs.
• Assess the effectiveness of KPI tracking and reporting structures for accuracy and actionable insights.
• Interact with AI-powered agents and workplace connectors, such as ChatGPT Work, Codex, and Claude Cowork, to enhance or review analytic workflows.
• Document findings, deliver structured feedback, and summarize improvements or corrections for data-driven processes.
• Contribute to best practices for integrating BI tools with collaborative platforms like Google Drive, Slack, Microsoft 365, SharePoint, or Salesforce.
Preferred Qualifications
• Professional experience in business intelligence, data analytics, reporting, or data visualization.
• Technical proficiency with products such as Power BI, Tableau, Looker, Qlik, Sigma, Databricks, or MySQL.
• Proven track record in building, managing, or validating dashboards, analytical workflows, and metric reporting.
• Familiarity with using or evaluating AI tools including ChatGPT Work, Codex, Claude Code, or Claude Cowork.
• Experience integrating and connecting BI platforms with workplace systems and cloud-based data sources.
• Detail-oriented approach to identifying inconsistencies or errors in analytical outputs, calculations, and KPIs.
• Excellent analytical, problem-solving, and communication skills to deliver actionable feedback and insights.