Qualitest

AI-powered software testing and quality engineering

Data Analyst - AI & Automation

Data AnalysisConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

At least 3 years of professional experience in data analysis, business intelligence, or another data-driven role.
A solid foundation in Python and SQL or Google SQL for data extraction, manipulation, and pipeline creation.
Hands-on experience with Google Sheets, Looker Studio, Gemini models, and large language model APIs, alongside workflow automation via JavaScript and Google Apps Script.
Familiarity with Model Context Protocol standards for dynamic context sharing and tool orchestration.
Expertise in data visualization platforms such as Tableau, Power BI, or Looker Studio.
Ability to convey findings effectively to technical and non-technical stakeholders through verbal and written communication.

Responsibilities

Process complex datasets using SQL, Python, and Google Sheets, and build interactive reports using Tableau, Power BI, or Looker Studio.
Design and deploy Model Context Protocol standards and large language model integrations to allow AI agents to safely connect with enterprise data sources and execute multi-step workflows.
Build robust data pipelines and complex automations using Python, and streamline day-to-day operations using JavaScript and Google Apps Script across Google Workspace.
Manage basic extract, transform, and load frameworks, data validation, reconciliation, and consistency across platforms.
Translate complex technical findings into clear insights using Google Slides or PowerPoint for cross-functional teams.

About the RoleWe 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 ResponsibilitiesData 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 RequirementsCore Technical SkillsExperience: 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 & MindsetAnalytical 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.

About the Company

Qualitest

AI-powered software testing and quality engineering

Qualitest provides software testing services powered by AI to help clients in healthcare, finance, and technology improve quality and speed up time to market. Its core product is Qualisense, an AI tool that enhances risk-based testing by prioritizing testing efforts, identifying high-risk areas, and optimizing test coverage. This allows Qualitest to automate and accelerate testing workflows, reduce costs, and improve operational efficiency for large, diverse enterprises worldwide. The company differentiates itself from competitors through its focus on AI-driven testing and risk-based strategies, enabling faster release cycles and better customer experiences. Qualitest aims to help organizations deliver reliable software quickly and at lower overall risk by combining specialized testing services with advanced AI-enabled tooling, primarily under long-term service contracts and partnerships.

Company size: 1,001-5,000
Company stage: Acquired
Total funding: $497M
Headquarters: Fairfield, CT
Founded: 1997

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