About this role
About the Role
We are looking for an innovative Data Analyst with AI Experience to bridge traditional data analysis with modern AI-driven automation. You will manage large datasets, build insightful dashboards, and leverage cutting-edge AI and scripting tools to fundamentally transform how data workflows operate within a Google-integrated ecosystem.
Key Responsibilities
- Data Analysis & Dashboards: Process complex datasets using SQL, Python, and Google Sheets, and build interactive reports using Tableau, Power BI, or Looker Studio.
- AI-First Automation & MCP Integration: Design and deploy Model Context Protocol (MCP) standards and LLM integrations to allow AI agents to safely connect with enterprise data sources and execute multi-step workflows.
- Advanced Scripting: Build robust data pipelines and complex automations using Python, and streamline day-to-day operations using JavaScript and Google Apps Script across Google Workspace.
- ETL & Data Governance: Manage basic ETL frameworks, data validation, reconciliation, and consistency across platforms.
- Stakeholder Collaboration: Translate complex technical findings into clear insights using Google Slides or PowerPoint for cross-functional teams.
Candidate Requirements
Core Technical Skills Experience: 3 to 5+ years of professional experience in a data analysis, business intelligence, or data-driven role. Programming & Databases: Solid foundation in Python and SQL / Google SQL for data extraction, manipulation, and pipeline creation. Google Ecosystem & AI Tooling: Hands-on experience with Google Sheets, Looker Studio, Gemini models, and LLM APIs, alongside workflow automation via JavaScript / Google Apps Script. Modern Frameworks: Familiarity with Model Context Protocol (MCP) standards for dynamic context sharing and tool orchestration. BI & Visualization: Expertise in data visualization platforms like Tableau, Power BI, or Looker Studio. Soft Skills & Mindset Analytical Thinking: Naturally curious with high attention to detail and a passion for independent problem-solving. Communication: Excellent verbal and written communication skills to convey findings effectively to technical and non-technical stakeholders.
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