AI & Data Analytics Executive

Job Title: AI & Data Analytics Executive

Department: Technology and Innovation

Location: Gurgaon or Bengaluru

Reporting To: Manager / Head of Department

Purpose/About the Role (Role Summary)

We are looking for a highly motivated and tech-savvy professional to support our transition from manual data handling to AI-powered workflows. The ideal candidate should be passionate about data analytics, automation, AI technologies, and modern application development.

This role focuses on improving operational efficiency through data-driven insights, workflow automation, AI integration, and development of scalable digital solutions using modern tools and technologies.

Primary Responsibilities

Data Analytics

• Analyze structured and unstructured datasets to identify trends, patterns, and business insights.
• Create interactive dashboards and reports using Power BI or similar tools.
• Support management with data-backed decision-making and performance tracking.

AI Integration & Automation

• Research, experiment, and implement AI solutions including Large Language Models (LLMs) and AI automation tools.
• Develop AI-assisted workflows to solve internal operational and technical challenges.
• Automate repetitive business and reporting tasks using Python or low-code/no-code platforms.
• Integrate APIs and AI services such as OpenAI, Claude, Gemini, or similar platforms.

Full Stack Development

• Develop and maintain internal web applications, dashboards, and automation portals.
• Work on frontend and backend technologies for enterprise applications.
• Build responsive user interfaces and integrate them with APIs and databases.
• Support deployment, testing, maintenance, and performance optimization of applications.

Research & Innovation

• Explore and evaluate new software tools, AI plugins, and productivity platforms.
• Stay updated with the latest AI, analytics, automation, and software development trends.
• Recommend innovative solutions to improve operational efficiency and digital transformation initiatives.

Key Activities and Areas of Focus

• Dashboard development and business reporting
• Workflow automation and process optimization
• AI-based productivity solutions and chatbot integrations
• API integrations and system connectivity
• Full stack application development
• Data visualization and analytics
• Database management and optimization
• Internal digital transformation projects
• Research and adoption of emerging technologies

Qualifications, Experience & Skills

Educational Qualification

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, AI, Software Engineering, or related fields.

Technical Skills

• Strong knowledge of Python, SQL, and database management.
• Experience in data cleaning, transformation, and analytics.
• Hands-on experience with Power BI or similar visualization tools.
• Knowledge of REST APIs and system integrations.

Full Stack Development Skills

• Frontend technologies: HTML, CSS, JavaScript, React, Angular or similar frameworks.
• Backend technologies: Node.js, Django, Flask, FastAPI, .NET or equivalent frameworks.
• Experience with databases such as MySQL, PostgreSQL, SQL Server, MongoDB.
• Understanding of application deployment, cloud environments, and version control systems.

AI & Automation Knowledge

• Understanding of Generative AI concepts and LLM platforms such as OpenAI, Claude, Gemini, etc.
• Familiarity with prompt engineering, AI automation frameworks, and AI integrations.
• Knowledge of Power Platform or automation tools will be an added advantage.

Tools & Platforms

• GitHub
• Cursor AI
• Lang Chain
• VS Code
• Postman
• AI research and productivity tools

Desired Attributes

• Strong analytical and problem-solving skills
• Passion for innovation and emerging technologies
• Quick learner with an automation-first mindset
• Ability to work independently and collaboratively
• Good communication and documentation skills
• Proactive approach toward process improvement and digital transformation

Certifications (Preferred but not Mandatory)

• Microsoft Power BI Certification
• Microsoft Power Platform Certification
• Python Certification
• Azure AI / AWS AI Certifications
• Full Stack Development Certification
• Data Analytics or Machine Learning Certifications
• OpenAI / Generative AI related certifications or training programs