Job Description & How to Apply Below
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
Git Hub
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
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