AI & Data Analytics Executive

As an AI & Data Analytics Executive at our company, you will play a crucial role in transitioning from manual data handling to AI-powered workflows. Your passion for data analytics, automation, AI technologies, and modern application development will drive operational efficiency improvements through data-driven insights, workflow automation, AI integration, and scalable digital solutions development. Key Responsibilities: - Data Analytics - Analyze structured and unstructured datasets to identify trends and business insights. - Create interactive dashboards and reports using Power BI or similar tools. - Support management in data-backed decision-making and performance tracking. - AI Integration & Automation - Research, experiment, and implement AI solutions like Large Language Models (LLMs) and AI automation tools. - Develop AI-assisted workflows for internal challenges. - Automate repetitive tasks using Python or low-code/no-code platforms. - Integrate APIs and AI services like OpenAI, Claude, Gemini, etc. - Full Stack Development - Develop and maintain internal web applications, dashboards, and automation portals. - Utilize frontend and backend technologies for enterprise applications. - Build responsive user interfaces integrated with APIs and databases. - Assist in deployment, testing, maintenance, and performance optimization. - Research & Innovation - Explore new software tools, AI plugins, and productivity platforms. - Stay updated with AI, analytics, automation, and software development trends. - Recommend innovative solutions for operational efficiency improvements and digital transformation initiatives. Qualifications, Experience & Skills: - Educational Qualification - Bachelors 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 like 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 is advantageous. 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 towards process improvement and digital transformation. This role offers you the opportunity to work on dashboard development, workflow automation, AI-based solutions, full stack development, data visualization, database management, and more. Your expertise and skills will contribute significantly to our internal digital transformation projects. As an AI & Data Analytics Executive at our company, you will play a crucial role in transitioning from manual data handling to AI-powered workflows. Your passion for data analytics, automation, AI technologies, and modern application development will drive operational efficiency improvements through data-driven insights, workflow automation, AI integration, and scalable digital solutions development. Key Responsibilities: - Data Analytics - Analyze structured and unstructured datasets to identify trends and business insights. - Create interactive dashboards and reports using Power BI or similar tools. - Support management in data-backed decision-making and performance tracking. - AI Integration & Automation - Research, experiment, and implement AI solutions like Large Language Models (LLMs) and AI automation tools. - Develop AI-assisted workflows for internal challenges. - Automate repetitive tasks using Python or low-code/no-code platforms. - Integrate APIs and AI services like OpenAI, Claude, Gemini, etc. - Full Stack Development - Develop and maintain internal web applications, dashboards, and automation portals. - Utilize frontend and backend technologies for enterprise applications. - Build responsive user interfaces integrated with APIs and databases. - Assist in deployment, testing, maintenance, and performance optimization. - Research & Innovation - Explore new software tools, AI plugins, and productivity platforms. - Stay updated