Data Analyst with AI Experience

Qualitest; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Qualitest is seeking an innovative Data Analyst with AI experience to bridge traditional analysis with AI-driven automation. You will manage large datasets, build insightful dashboards, and leverage cutting-edge AI tools to transform data workflows within a Google-integrated ecosystem.

You will design and implement data pipelines using Python and SQL, create dashboards in Looker Studio/Tableau/Power BI, and collaborate with stakeholders to translate complex findings into actionable insights.

Qualifications

• 5 to 8+ years of professional experience in data analysis, BI, or data-driven role.
• Solid foundation in Python and SQL/Google SQL for data extraction and pipelines.
• Hands-on with Google Sheets, Looker Studio, Gemini models, and LLM APIs; automation via JavaScript/Apps Script.
• Familiarity with MCP standards for dynamic context sharing and tool orchestration.
• Expertise in Tableau, Power BI for data visualization.

Responsibilities

• Data Analysis & Dashboards: process complex datasets using SQL, Python and create interactive reports.
• AI-First Automation & MCP Integration: design MCP standards and LLM integrations for AI agents.
• Advanced Scripting: build data pipelines and automations with Python; use JavaScript/Apps Script in Google Workspace.
• ETL & Data Governance: manage basic ETL, validation, and cross-platform consistency.
• Stakeholder Collaboration: translate findings into clear insights using Google Slides or PowerPoint.

Skills

Python

SQL / Google SQL

LLM APIs

Gemini models

MCP

JavaScript

Google Sheets

Looker Studio

Tableau

Power BI

Google Apps Script

Tools

Tableau

Power BI

Looker Studio

Google Apps Script

Google Sheets

Job 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.