Senior Data Analyst - AI & Automation

Quality Ai; India; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

QualityAI is seeking a Senior Data Analyst to bridge traditional data analytics with AI-powered automation. You will manage large datasets, build dashboards, and apply AI tools to optimize data workflows within a Google-integrated ecosystem.

The role emphasizes SQL/Python expertise, BI visualization, and modern AI tooling to enable safer, scalable data operations across projects.

Qualifications

• Proficient in Python and SQL with data pipeline experience.
• Experience with BI tools for dashboarding and data storytelling.
• Hands-on exposure to AI tooling and LLM integrations.

Responsibilities

• Process and analyze large datasets; build interactive dashboards.
• Design AI-driven automation and MCP-based integrations for data workflows.
• Collaborate with stakeholders to present findings clearly and influence decisions.

Skills

Python

SQL

Google Sheets

Looker Studio

Tableau

Power BI

LLM APIs

JavaScript

Google Apps Script

MCP standards

Data Visualization

Tools

Gemini models

LLM APIs

Job description

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Senior Data Analyst - AI & Automation

Date: 29 Oct 2026 Company: QualityAI Country/Region: IN

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.

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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