Data Analyst with AI Experience
Description
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: 5 to 8+ 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.
